{"id":50893,"date":"2024-02-29T00:00:00","date_gmt":"2024-02-29T08:00:00","guid":{"rendered":"https:\/\/griddb-linux-hte8hndjf8cka8ht.westus-01.azurewebsites.net\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/"},"modified":"2025-11-14T07:56:37","modified_gmt":"2025-11-14T15:56:37","slug":"predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb","status":"publish","type":"post","link":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/","title":{"rendered":"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c"},"content":{"rendered":"<h2>\u306f\u3058\u3081\u306b<\/h2>\n<p>\u7dda\u5f62\u56de\u5e30\u5206\u6790\u306f\uff0c\u5225\u306e\u5909\u6570\u306e\u5024\u306b\u57fa\u3065\u3044\u3066\u5909\u6570\u306e\u5024\u3092\u4e88\u6e2c\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\uff0e\u4e88\u6e2c\u3055\u308c\u308b\u5909\u6570\u306f\u300c\u5f93\u5c5e\u5909\u6570\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\uff0c\u4ed6\u306e\u5909\u6570\u3092\u4e88\u6e2c\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u5909\u6570\u306f\u300c\u72ec\u7acb\u5909\u6570\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\u308b\uff0e\u7dda\u5f62\u56de\u5e30\u306f\uff0c1\u3064\u307e\u305f\u306f\u8907\u6570\u306e\u72ec\u7acb\u5909\u6570\u3068\u306e1\u6b21\u65b9\u7a0b\u5f0f\u306e\u4fc2\u6570\u3092\u63a8\u5b9a\u3059\u308b\uff0e\u7dda\u5f62\u56de\u5e30\u306f\u3001\u4e88\u6e2c\u3055\u308c\u305f\u51fa\u529b\u5024\u3068\u671f\u5f85\u3055\u308c\u305f\u51fa\u529b\u5024\u306e\u5dee\u3092\u6700\u5c0f\u5316\u3059\u308b\u76f4\u7dda\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<p>\u3053\u306e\u8a18\u4e8b\u3067\u306f\u3001Java\u3068GridDB\u3092\u4f7f\u7528\u3057\u3066\u3001\u6e29\u5ea6\u306b\u57fa\u3065\u3044\u3066\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u8ca9\u58f2\u6570\u3092\u4e88\u6e2c\u3059\u308b\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<code>\u6e29\u5ea6<\/code> \u304c\u72ec\u7acb\u5909\u6570\u3067 <code>\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a<\/code> \u304c\u5f93\u5c5e\u5909\u6570\u306b\u306a\u308a\u307e\u3059\u3002<\/p>\n<h2>\u30d1\u30c3\u30b1\u30fc\u30b8\u306e\u30a4\u30f3\u30dd\u30fc\u30c8<\/h2>\n<p>\u307e\u305a\u3001GridDB\u3068\u9023\u643a\u3059\u308b\u305f\u3081\u306eJava\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">import com.toshiba.mwcloud.gs.Collection;\nimport com.toshiba.mwcloud.gs.GSException;\nimport com.toshiba.mwcloud.gs.GridStore;\nimport com.toshiba.mwcloud.gs.GridStoreFactory;\nimport com.toshiba.mwcloud.gs.Query;\nimport com.toshiba.mwcloud.gs.RowKey;\nimport com.toshiba.mwcloud.gs.RowSet;\nimport java.util.*;\n\n\nimport java.util.Scanner;\nimport java.io.IOException;\nimport java.util.ArrayList;\nimport java.util.Properties;\nimport java.util.logging.Level;\nimport java.util.logging.Logger;<\/code><\/pre>\n<\/div>\n<h2>\u30c7\u30fc\u30bf\u3092GridDB\u306b\u66f8\u304d\u8fbc\u307f\u307e\u3059<\/h2>\n<p>\u4f7f\u7528\u3059\u308b\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u3001\u7570\u306a\u308b\u6e29\u5ea6\u5024\u306b\u5bfe\u3059\u308b\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u8ca9\u58f2\u6570\u3092\u793a\u3057\u3066\u3044\u307e\u3059\u3002\u3053\u306e\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306f\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u7528\u3068\u30c6\u30b9\u30c8\u7528\u306e2\u3064\u306b\u5206\u3051\u3089\u308c\u3066\u3044\u307e\u3059\u3002\u3057\u304b\u3057\u3001\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30fb\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092GridDB\u306b\u79fb\u3057\u305f\u3044\u3067\u3059\u3002GridDB\u306b\u306f\u3001\u30af\u30a8\u30ea\u306e\u9ad8\u901f\u5316\u306a\u3069\u69d8\u3005\u306a\u30e1\u30ea\u30c3\u30c8\u304c\u3042\u308b\u304b\u3089\u3067\u3059\u3002\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b\u305f\u3081\u306eGridDB\u30b3\u30f3\u30c6\u30ca\u3092\u5b9a\u7fa9\u3057\u307e\u3059\u3002\u30b3\u30f3\u30c6\u30ca\u306f\u4ee5\u4e0b\u306e\u3088\u3046\u306bJava\u30af\u30e9\u30b9\u3068\u3057\u3066\u5b9a\u7fa9\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\"> static class SalesData {\n    @RowKey int id;\n        double temperature;\n    double icecreamsales;\n     }<\/code><\/pre>\n<\/div>\n<p>GridDB\u30b3\u30f3\u30c6\u30ca\u306f\u3001SQL\u306e\u30c6\u30fc\u30d6\u30eb\u3068\u898b\u306a\u3059\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002<\/p>\n<p>GridDB\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u66f8\u304d\u8fbc\u3080\u306b\u306f\u3001\u307e\u305aGridDB\u306b\u63a5\u7d9a\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002java.util<code>\u30d1\u30c3\u30b1\u30fc\u30b8\u304b\u3089<\/code>Properties<code>\u30d5\u30a1\u30a4\u30eb\u3092\u4f5c\u6210\u3057\u3001\u4ee5\u4e0b\u306e\u3088\u3046\u306b<\/code>key:value`\u30da\u30a2\u306e\u69cb\u6587\u3092\u4f7f\u3063\u3066GridDB\u306e\u8a8d\u8a3c\u60c5\u5831\u3092\u5165\u529b\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Properties props = new Properties();\nprops.setProperty(\"notificationMember\", \"127.0.1.1:10001\");\nprops.setProperty(\"clusterName\", \"myCluster\");\nprops.setProperty(\"user\", \"admin\");\nprops.setProperty(\"password\", \"admin\");\nGridStore store = GridStoreFactory.getInstance().getGridStore(props);<\/code><\/pre>\n<\/div>\n<p>\u307e\u305f\u3001\u30c7\u30fc\u30bf\u30d9\u30fc\u30b9\u3092\u64cd\u4f5c\u3059\u308b\u305f\u3081\u306b <code>GridStore<\/code> \u578b\u306e\u5909\u6570 <code>store<\/code> \u3092\u4f5c\u6210\u3057\u307e\u3057\u305f\u3002<\/p>\n<h2>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306eGridDB\u3078\u306e\u683c\u7d0d<\/h2>\n<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092GridDB\u306b\u683c\u7d0d\u3057\u305f\u3044\u3067\u3059\u3002\u307e\u305a\u3001\u30c7\u30fc\u30bf\u884c\u3092 <code>SalesData<\/code> \u30af\u30e9\u30b9\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3068\u3057\u3066\u5b9a\u7fa9\u3057\u307e\u3059\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">SalesData  row1 = new SalesData();\nrow1.id=1;\nrow1.temperature=14.2;\nrow1.icecreamsales=215;\n\nSalesData  row2 = new SalesData();\nrow2.id=2;\nrow2.temperature=16.4;\nrow2.icecreamsales=325;\n\nSalesData  row3 = new SalesData();\nrow3.id=3;\nrow3.temperature=11.9;\nrow3.icecreamsales=185;\n\nSalesData  row4 = new SalesData();\nrow4.id=4;\nrow4.temperature=15.2;\nrow4.icecreamsales=332;\n\nSalesData  row5 = new SalesData();\nrow5.id=5;\nrow5.temperature=18.5;\nrow5.icecreamsales=406;\n\nSalesData  row6 = new SalesData();\nrow6.id=6;\nrow6.temperature=19.4;\nrow6.icecreamsales=412;\n\nSalesData  row7 = new SalesData();\nrow7.id=7;\nrow7.temperature=25.1;\nrow7.icecreamsales=614;\n\nSalesData  row8 = new SalesData();\nrow8.id=8;\nrow8.temperature=23.4;\nrow8.icecreamsales=544;\n\nSalesData  row9 = new SalesData();\nrow9.id=9;\nrow9.temperature=18.1;\nrow9.icecreamsales=421;\n\nSalesData  row10 = new SalesData();\nrow10.id=10;\nrow10.temperature=22.6;\nrow10.icecreamsales=445;\n\nSalesData  row11 = new SalesData();\nrow11.id=11;\nrow11.temperature=17.2;\nrow11.icecreamsales=408;<\/code><\/pre>\n<\/div>\n<p>\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3059\u308b GridDB \u30b3\u30f3\u30c6\u30ca <code>SalesData<\/code> \u3092\u9078\u629e\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Collection&lt;String, SalesData> sd= store.putCollection(\"SalesData\", SalesData.class);<\/code><\/pre>\n<\/div>\n<p>\u30b3\u30f3\u30c6\u30ca\u306b\u30c7\u30fc\u30bf\u3092\u8ffd\u52a0\u3059\u308b\u306b\u306f <code>put()<\/code> \u95a2\u6570\u3092\u4f7f\u7528\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">sd.put(row1);\nsd.put(row2);\nsd.put(row3);\nsd.put(row4);\nsd.put(row5);\nsd.put(row6);\nsd.put(row7);\nsd.put(row8);\nsd.put(row9);\nsd.put(row10);\nsd.put(row11);<\/code><\/pre>\n<\/div>\n<h2>\u5b66\u7fd2\u30c7\u30fc\u30bf\u306e\u53d6\u5f97<\/h2>\n<p>GridDB\u304b\u3089\u5b66\u7fd2\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c6\u30a3\u30f3\u30b0\u306b\u4f7f\u7528\u3057\u307e\u3059\u3002\u4ee5\u4e0b\u306e\u3088\u3046\u306b\u3001<code>SalesData<\/code> \u30b3\u30f3\u30c6\u30ca\u5185\u306e\u5168\u3066\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3059\u308b TQL \u30af\u30a8\u30ea\u3092\u4f5c\u6210\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Query&lt;salesdata> query = sd.query(\"select *\");\nRowSet&lt;\/salesdata>&lt;salesdata> rs = query.fetch(false);\n\nwhile (rs.hasNext()) {\nSalesData sd1 = rs.next();\ndouble[][] data = {{sd1.temperature},{sd1.icecreamsales}};\n}&lt;\/salesdata><\/code><\/pre>\n<\/div>\n<p>TQL \u6587 <code>select *<\/code> \u3092\u4f7f\u3063\u3066\u3001\u30b3\u30f3\u30c6\u30ca\u306b\u683c\u7d0d\u3055\u308c\u3066\u3044\u308b\u3059\u3079\u3066\u306e\u30c7\u30fc\u30bf\u3092\u53d6\u5f97\u3057\u307e\u3057\u305f\u3002\u30c7\u30fc\u30bf\u306f <code>data<\/code> \u3068\u3044\u3046\u540d\u524d\u306e 2D \u914d\u5217\u306b\u683c\u7d0d\u3055\u308c\u307e\u3059\u3002<\/p>\n<h2>Weka \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u4f5c\u6210<\/h2>\n<p>Weka \u6a5f\u68b0\u5b66\u7fd2\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u4f7f\u7528\u3057\u3066\u3001\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u3092\u30d5\u30a3\u30c3\u30c8\u3057\u307e\u3059\u3002\u3057\u305f\u304c\u3063\u3066\u3001\u30c7\u30fc\u30bf\u3092 Weka \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u5909\u63db\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u307e\u305a\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u5c5e\u6027\u3092\u4f5c\u6210\u3057\u3001FastVector \u30c7\u30fc\u30bf\u69cb\u9020\u306b\u683c\u7d0d\u3057\u307e\u3059\u3002\u305d\u308c\u304b\u3089\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e Weka \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u307e\u3059\u3002<\/p>\n<p>\u307e\u305a\u3001\u5c5e\u6027\u3068\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u683c\u7d0d\u3059\u308b\u30c7\u30fc\u30bf\u69cb\u9020\u3092\u4f5c\u6210\u3057\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">int numInstances = data[0].length;\nFastVector atts = new FastVector();\nList&lt;instance> instances = new ArrayList&lt;\/instance>&lt;instance>();&lt;\/instance><\/code><\/pre>\n<\/div>\n<p>\u6b21\u306b\u3001<code>for<\/code>\u30eb\u30fc\u30d7\u3092\u4f5c\u6210\u3057\u3001\u305d\u308c\u3092\u4f7f\u3063\u3066\u30c7\u30fc\u30bf\u9805\u76ee\u3092\u7e70\u308a\u8fd4\u3057\u3001FastVector\u30c7\u30fc\u30bf\u69cb\u9020\u306b\u5c5e\u6027\u3092\u5165\u529b\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">for(int dim = 0; dim &lt; 2; dim++)\n    {\n        Attribute current = new Attribute(\"Attribute\" + dim, dim);\n\n        if(dim == 0)\n        {\n            for(int obj = 0; obj &lt; numInstances; obj++)\n            {\n                instances.add(new SparseInstance(numInstances));\n            }\n        }\n\n        for(int obj = 0; obj &lt; numInstances; obj++)\n        {\n            instances.get(obj).setValue(current, data[dim][obj]);\n            \n        }\n        atts.addElement(current);\n    }<\/code><\/pre>\n<\/div>\n<p>Weka \u306e <code>Instance<\/code> \u30af\u30e9\u30b9\u3092\u4f7f\u3063\u3066\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u751f\u6210\u3057\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u5909\u6570 <code>newDataset<\/code> \u306b\u683c\u7d0d\u3057\u307e\u3057\u3087\u3046\u3002<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Instances newDataset = new Instances(\"Dataset\", atts, instances.size());<\/code><\/pre>\n<\/div>\n<h2>\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u30d5\u30a3\u30c3\u30c8<\/h2>\n<p>\u30c7\u30fc\u30bf\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306e\u6e96\u5099\u304c\u3067\u304d\u305f\u306e\u3067\u3001\u6a5f\u68b0\u5b66\u7fd2\u30e2\u30c7\u30eb\u3092\u3042\u3066\u306f\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\u3002\u305d\u306e\u524d\u306b\u3001Weka \u304b\u3089\u5fc5\u8981\u306a\u30e9\u30a4\u30d6\u30e9\u30ea\u3092\u30a4\u30f3\u30dd\u30fc\u30c8\u3057\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">import weka.classifiers.Classifier;\nimport weka.classifiers.Evaluation;\nimport weka.core.Attribute;\nimport weka.core.FastVector;\nimport weka.core.Instance;\nimport weka.core.Instances;\nimport weka.core.SparseInstance;<\/code><\/pre>\n<\/div>\n<p>\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3059\u308b\u524d\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30af\u30e9\u30b9\u5c5e\u6027\u3092\u6307\u5b9a\u3057\u3066\u307f\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">newDataset.setClassIndex(1);<\/code><\/pre>\n<\/div>\n<p>Weka \u30e9\u30a4\u30d6\u30e9\u30ea\u306e <code>LinearRegression()<\/code> \u95a2\u6570\u3092\u4f7f\u3063\u3066\u3001\u7dda\u5f62\u56de\u5e30\u5206\u985e\u5668\u3092\u3042\u3066\u306f\u3081\u308b\u3053\u3068\u304c\u3067\u304d\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">newDataset.setClassIndex(1);\nfor(Instance inst : instances)\nnewDataset.add(inst);\nClassifier classifier = new weka.classifiers.functions.LinearRegression();\n\nclassifier.buildClassifier(newDataset);\n        System.out.println(classifier);<\/code><\/pre>\n<\/div>\n<p>\u7dda\u5f62\u56de\u5e30\u30e2\u30c7\u30eb\u306e\u6e96\u5099\u304c\u3067\u304d\u307e\u3057\u305f\uff01<\/p>\n<h2>\u30e2\u30c7\u30eb\u306e\u8a55\u4fa1\u3068\u30c6\u30b9\u30c8<\/h2>\n<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u3092\u8a55\u4fa1\u3057\u3001\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u3092\u4f7f\u3063\u3066\u30e2\u30c7\u30eb\u3092\u30c6\u30b9\u30c8\u3059\u308b\u3002data2`\u3068\u3044\u3046\u540d\u524d\u306e\u914d\u5217\u3092\u5b9a\u7fa9\u3057\u3001\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u3092\u683c\u7d0d\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">    static double[][] data2 = {{14.2,16.4,11.9},{215,325,185}};<\/code><\/pre>\n<\/div>\n<p>\u30c7\u30fc\u30bf\u3092\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3059\u308b\u306b\u306f\u3001\u307e\u305a\u30c7\u30fc\u30bf\u3092 Weka \u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306b\u5909\u63db\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002\u5c5e\u6027\u306f FastVector \u30c7\u30fc\u30bf\u69cb\u9020\u306b\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u306f ArrayList \u306b\u683c\u7d0d\u3057\u307e\u3059\u3002\u3053\u308c\u3089\u3092\u5b9a\u7fa9\u3057\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">int numInstances2 = data2[0].length;\n        FastVector atts2 = new FastVector();\n        List&lt;instance> instances2 = new ArrayList&lt;\/instance>&lt;instance>();&lt;\/instance><\/code><\/pre>\n<\/div>\n<p>for`\u30eb\u30fc\u30d7\u3067\u30c7\u30fc\u30bf\u3092\u7e70\u308a\u8fd4\u3057\u3001FastVector\u306b\u5c5e\u6027\u3092\u5165\u529b\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">for(int dim2 = 0; dim2 &lt; 2; dim2++)\n    {\n        Attribute current2 = new Attribute(\"Attribute\" + dim2, dim2);\n\n        if(dim2 == 0)\n        {\n            for(int obj2 = 0; obj2 &lt; numInstances2; obj2++)\n            {\n                instances2.add(new SparseInstance(numInstances2));\n            }\n        }\n\n        for(int obj2 = 0; obj2 &lt; numInstances2; obj2++)\n        {\n            instances2.get(obj2).setValue(current2, data2[dim2][obj2]);\n            \n        }\n        atts2.addElement(current2);\n    }<\/code><\/pre>\n<\/div>\n<p>\u30c8\u30ec\u30fc\u30cb\u30f3\u30b0\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f5c\u6210\u3057\u3001\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u5909\u6570 <code>newDataset2<\/code> \u306b\u683c\u7d0d\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">    Instances newDataset2 = new Instances(\"Dataset\", atts2, instances2.size());<\/code><\/pre>\n<\/div>\n<p>\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3059\u308b\u524d\u306b\u3001\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306eclass\u5c5e\u6027\u3092\u6307\u5b9a\u3057\u3066\u307f\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">newDataset2.setClassIndex(1);<\/code><\/pre>\n<\/div>\n<p>\u6b21\u306b\u3001\u30c7\u30fc\u30bf\u3092\u30e2\u30c7\u30eb\u306b\u5165\u529b\u3057\u3001\u8a55\u4fa1\u30b5\u30de\u30ea\u30fc\u3092\u5370\u5237\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">for(Instance inst2 : instances2)\n       newDataset2.add(inst2);\n\n       Evaluation eval = new Evaluation(newDataset);\n        eval.evaluateModel(classifier, newDataset2);\n    \n        System.out.println(eval.toSummaryString());<\/code><\/pre>\n<\/div>\n<h2>\u4e88\u6e2c\u3092\u7acb\u3066\u308b<\/h2>\n<p>\u3053\u308c\u3067\u3001\u6211\u3005\u306e\u30e2\u30c7\u30eb\u3092\u4f7f\u3063\u3066\u3001\u7279\u5b9a\u306e\u6e29\u5ea6\u5024\u306b\u304a\u3051\u308b\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u8ca9\u58f2\u6570\u3092\u4e88\u6e2c\u3067\u304d\u308b\u3088\u3046\u306b\u306a\u308a\u307e\u3057\u305f\u3002\u30c6\u30b9\u30c8\u30c7\u30fc\u30bf\u30bb\u30c3\u30c8\u306e\u6700\u5f8c\u306e\u30a4\u30f3\u30b9\u30bf\u30f3\u30b9\u3092\u4f7f\u3063\u3066\u4e88\u6e2c\u3057\u307e\u3057\u3087\u3046\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-java\">Instance pd = newDataset2.lastInstance();\ndouble value = classifier.classifyInstance(pd);              \n    System.out.println(value);<\/code><\/pre>\n<\/div>\n<h2>\u30e2\u30c7\u30eb\u306e\u5b9f\u884c<\/h2>\n<p>\u4ee5\u4e0b\u306e URL \u304b\u3089 Weka API \u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3057\u3066\u304f\u3060\u3055\u3044\uff1a<\/p>\n<p><code>http:\/\/www.java2s.com\/Code\/Jar\/w\/weka.htm<\/code> I will be using Weka version 3.7.0.<\/p>\n<p>\u30bf\u30fc\u30df\u30ca\u30eb\u3067\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066\u3001<code>gridstore.jar<\/code> \u3068 <code>weka-3-7-0.jar<\/code> \u30d5\u30a1\u30a4\u30eb\u306e\u30af\u30e9\u30b9\u30d1\u30b9\u3092\u8a2d\u5b9a\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sh\">export CLASSPATH=$CLASSPATH:\/usr\/share\/java\/gridstore.jar<\/code><\/pre>\n<\/div>\n<div class=\"clipboard\">\n<pre><code class=\"language-sh\">export CLASSPATH=$CLASSPATH:\/mnt\/c\/Users\/user\/Desktop\/weka-3.7.0.jar<\/code><\/pre>\n<\/div>\n<p>\u4e0a\u8a18\u306e\u30b3\u30de\u30f3\u30c9\u306f\u30d5\u30a1\u30a4\u30eb\u306e\u5834\u6240\u306b\u3088\u3063\u3066\u5909\u66f4\u3055\u308c\u308b\u53ef\u80fd\u6027\u304c\u3042\u308b\u3053\u3068\u306b\u6ce8\u610f\u3057\u3066\u304f\u3060\u3055\u3044\u3002<\/p>\n<p>\u6b21\u306b\u3001\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3092\u5b9f\u884c\u3057\u3066 <code>.java<\/code> \u30d5\u30a1\u30a4\u30eb\u3092\u30b3\u30f3\u30d1\u30a4\u30eb\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sh\">javac IceSales.java<\/code><\/pre>\n<\/div>\n<p>\u751f\u6210\u3055\u308c\u305f.class\u30d5\u30a1\u30a4\u30eb\u3092\u4ee5\u4e0b\u306e\u30b3\u30de\u30f3\u30c9\u3067\u5b9f\u884c\u3057\u307e\u3059\uff1a<\/p>\n<div class=\"clipboard\">\n<pre><code class=\"language-sh\">java IceSales<\/code><\/pre>\n<\/div>\n<p>\u3053\u306e\u30e2\u30c7\u30eb\u306e\u76f8\u95a2\u4fc2\u6570\u306f0.9456\u3067\u3057\u305f\u3002\u76f8\u95a2\u5024\u306f-1\u304b\u30891\u306e\u9593\u3067\u30011\u306f\u975e\u5e38\u306b\u5f37\u3044\u7dda\u5f62\u76f8\u95a2\u3001-1\u306f\u9006\u7dda\u5f62\u95a2\u4fc2\u30010\u306f\u95a2\u4fc2\u306a\u3057\u3092\u610f\u5473\u3057\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306f\u3001198\u306e\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u58f2\u4e0a\u3082\u4e88\u6e2c\u3057\u307e\u3057\u305f\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u306f\u3058\u3081\u306b \u7dda\u5f62\u56de\u5e30\u5206\u6790\u306f\uff0c\u5225\u306e\u5909\u6570\u306e\u5024\u306b\u57fa\u3065\u3044\u3066\u5909\u6570\u306e\u5024\u3092\u4e88\u6e2c\u3059\u308b\u306e\u306b\u5f79\u7acb\u3064\uff0e\u4e88\u6e2c\u3055\u308c\u308b\u5909\u6570\u306f\u300c\u5f93\u5c5e\u5909\u6570\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\uff0c\u4ed6\u306e\u5909\u6570\u3092\u4e88\u6e2c\u3059\u308b\u305f\u3081\u306b\u4f7f\u7528\u3055\u308c\u308b\u5909\u6570\u306f\u300c\u72ec\u7acb\u5909\u6570\u300d\u3068\u3057\u3066\u77e5\u3089\u308c\u308b\uff0e\u7dda\u5f62\u56de\u5e30\u306f\uff0c1\u3064\u307e\u305f\u306f\u8907\u6570\u306e\u72ec\u7acb [&hellip;]<\/p>\n","protected":false},"author":41,"featured_media":49670,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[1005],"tags":[],"class_list":["post-50893","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-1005"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.1.1 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT<\/title>\n<meta name=\"description\" content=\"\u306f\u3058\u3081\u306b\" \/>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\" \/>\n<meta property=\"og:locale\" content=\"ja_JP\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"og:description\" content=\"\u306f\u3058\u3081\u306b\" \/>\n<meta property=\"og:url\" content=\"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\" \/>\n<meta property=\"og:site_name\" content=\"GridDB: Open Source Time Series Database for IoT\" \/>\n<meta property=\"article:publisher\" content=\"https:\/\/www.facebook.com\/griddbcommunity\/\" \/>\n<meta property=\"article:published_time\" content=\"2024-02-29T08:00:00+00:00\" \/>\n<meta property=\"article:modified_time\" content=\"2025-11-14T15:56:37+00:00\" \/>\n<meta property=\"og:image\" content=\"https:\/\/griddb.net\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg\" \/>\n\t<meta property=\"og:image:width\" content=\"1536\" \/>\n\t<meta property=\"og:image:height\" content=\"1536\" \/>\n\t<meta property=\"og:image:type\" content=\"image\/jpeg\" \/>\n<meta name=\"author\" content=\"griddb-admin\" \/>\n<meta name=\"twitter:card\" content=\"summary_large_image\" \/>\n<meta name=\"twitter:creator\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:site\" content=\"@GridDBCommunity\" \/>\n<meta name=\"twitter:label1\" content=\"\u57f7\u7b46\u8005\" \/>\n\t<meta name=\"twitter:data1\" content=\"griddb-admin\" \/>\n\t<meta name=\"twitter:label2\" content=\"\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593\" \/>\n\t<meta name=\"twitter:data2\" content=\"3\u5206\" \/>\n<script type=\"application\/ld+json\" class=\"yoast-schema-graph\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"Article\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#article\",\"isPartOf\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\"},\"author\":{\"name\":\"griddb-admin\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\"},\"headline\":\"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c\",\"datePublished\":\"2024-02-29T08:00:00+00:00\",\"dateModified\":\"2025-11-14T15:56:37+00:00\",\"mainEntityOfPage\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\"},\"wordCount\":54,\"commentCount\":0,\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"CommentAction\",\"name\":\"Comment\",\"target\":[\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#respond\"]}]},{\"@type\":\"WebPage\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\",\"url\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\",\"name\":\"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT\",\"isPartOf\":{\"@id\":\"https:\/\/griddb.net\/en\/#website\"},\"primaryImageOfPage\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage\"},\"thumbnailUrl\":\"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg\",\"datePublished\":\"2024-02-29T08:00:00+00:00\",\"dateModified\":\"2025-11-14T15:56:37+00:00\",\"description\":\"\u306f\u3058\u3081\u306b\",\"inLanguage\":\"ja\",\"potentialAction\":[{\"@type\":\"ReadAction\",\"target\":[\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/\"]}]},{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage\",\"url\":\"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg\",\"contentUrl\":\"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg\",\"width\":1536,\"height\":1536},{\"@type\":\"WebSite\",\"@id\":\"https:\/\/griddb.net\/en\/#website\",\"url\":\"https:\/\/griddb.net\/en\/\",\"name\":\"GridDB: Open Source Time Series Database for IoT\",\"description\":\"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL\",\"publisher\":{\"@id\":\"https:\/\/griddb.net\/en\/#organization\"},\"potentialAction\":[{\"@type\":\"SearchAction\",\"target\":{\"@type\":\"EntryPoint\",\"urlTemplate\":\"https:\/\/griddb.net\/en\/?s={search_term_string}\"},\"query-input\":{\"@type\":\"PropertyValueSpecification\",\"valueRequired\":true,\"valueName\":\"search_term_string\"}}],\"inLanguage\":\"ja\"},{\"@type\":\"Organization\",\"@id\":\"https:\/\/griddb.net\/en\/#organization\",\"name\":\"Fixstars\",\"url\":\"https:\/\/griddb.net\/en\/\",\"logo\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\",\"url\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"contentUrl\":\"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png\",\"width\":200,\"height\":83,\"caption\":\"Fixstars\"},\"image\":{\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/\"},\"sameAs\":[\"https:\/\/www.facebook.com\/griddbcommunity\/\",\"https:\/\/x.com\/GridDBCommunity\",\"https:\/\/www.linkedin.com\/company\/griddb-by-toshiba\"]},{\"@type\":\"Person\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233\",\"name\":\"griddb-admin\",\"image\":{\"@type\":\"ImageObject\",\"inLanguage\":\"ja\",\"@id\":\"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/\",\"url\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"contentUrl\":\"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g\",\"caption\":\"griddb-admin\"},\"url\":\"https:\/\/griddb.net\/ja\/author\/griddb-admin\/\"}]}<\/script>\n<!-- \/ Yoast SEO plugin. -->","yoast_head_json":{"title":"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT","description":"\u306f\u3058\u3081\u306b","robots":{"index":"index","follow":"follow","max-snippet":"max-snippet:-1","max-image-preview":"max-image-preview:large","max-video-preview":"max-video-preview:-1"},"canonical":"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/","og_locale":"ja_JP","og_type":"article","og_title":"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT","og_description":"\u306f\u3058\u3081\u306b","og_url":"https:\/\/griddb.net\/ja\/\u672a\u5206\u985e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/","og_site_name":"GridDB: Open Source Time Series Database for IoT","article_publisher":"https:\/\/www.facebook.com\/griddbcommunity\/","article_published_time":"2024-02-29T08:00:00+00:00","article_modified_time":"2025-11-14T15:56:37+00:00","og_image":[{"width":1536,"height":1536,"url":"https:\/\/griddb.net\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg","type":"image\/jpeg"}],"author":"griddb-admin","twitter_card":"summary_large_image","twitter_creator":"@GridDBCommunity","twitter_site":"@GridDBCommunity","twitter_misc":{"\u57f7\u7b46\u8005":"griddb-admin","\u63a8\u5b9a\u8aad\u307f\u53d6\u308a\u6642\u9593":"3\u5206"},"schema":{"@context":"https:\/\/schema.org","@graph":[{"@type":"Article","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#article","isPartOf":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/"},"author":{"name":"griddb-admin","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233"},"headline":"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c","datePublished":"2024-02-29T08:00:00+00:00","dateModified":"2025-11-14T15:56:37+00:00","mainEntityOfPage":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/"},"wordCount":54,"commentCount":0,"publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"image":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg","inLanguage":"ja","potentialAction":[{"@type":"CommentAction","name":"Comment","target":["https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#respond"]}]},{"@type":"WebPage","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/","url":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/","name":"Java\u3068GridDB\u3092\u7528\u3044\u305f\u6c17\u6e29\u306b\u57fa\u3065\u304f\u30a2\u30a4\u30b9\u30af\u30ea\u30fc\u30e0\u306e\u58f2\u4e0a\u4e88\u6e2c | GridDB: Open Source Time Series Database for IoT","isPartOf":{"@id":"https:\/\/griddb.net\/en\/#website"},"primaryImageOfPage":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage"},"image":{"@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage"},"thumbnailUrl":"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg","datePublished":"2024-02-29T08:00:00+00:00","dateModified":"2025-11-14T15:56:37+00:00","description":"\u306f\u3058\u3081\u306b","inLanguage":"ja","potentialAction":[{"@type":"ReadAction","target":["https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/"]}]},{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/ja\/%e6%9c%aa%e5%88%86%e9%a1%9e\/predicting-ice-cream-sales-based-on-temperature-using-java-and-griddb\/#primaryimage","url":"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg","contentUrl":"\/wp-content\/uploads\/2024\/02\/Gemini_Generated_Image-3.jpeg","width":1536,"height":1536},{"@type":"WebSite","@id":"https:\/\/griddb.net\/en\/#website","url":"https:\/\/griddb.net\/en\/","name":"GridDB: Open Source Time Series Database for IoT","description":"GridDB is an open source time-series database with the performance of NoSQL and convenience of SQL","publisher":{"@id":"https:\/\/griddb.net\/en\/#organization"},"potentialAction":[{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https:\/\/griddb.net\/en\/?s={search_term_string}"},"query-input":{"@type":"PropertyValueSpecification","valueRequired":true,"valueName":"search_term_string"}}],"inLanguage":"ja"},{"@type":"Organization","@id":"https:\/\/griddb.net\/en\/#organization","name":"Fixstars","url":"https:\/\/griddb.net\/en\/","logo":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/","url":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","contentUrl":"https:\/\/griddb.net\/wp-content\/uploads\/2019\/04\/fixstars_logo_web_tagline.png","width":200,"height":83,"caption":"Fixstars"},"image":{"@id":"https:\/\/griddb.net\/en\/#\/schema\/logo\/image\/"},"sameAs":["https:\/\/www.facebook.com\/griddbcommunity\/","https:\/\/x.com\/GridDBCommunity","https:\/\/www.linkedin.com\/company\/griddb-by-toshiba"]},{"@type":"Person","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/4fe914ca9576878e82f5e8dd3ba52233","name":"griddb-admin","image":{"@type":"ImageObject","inLanguage":"ja","@id":"https:\/\/griddb.net\/en\/#\/schema\/person\/image\/","url":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","contentUrl":"https:\/\/secure.gravatar.com\/avatar\/5bceca1cafc06886a7ba873e2f0a28011a1176c4dea59709f735b63ae30d0342?s=96&d=mm&r=g","caption":"griddb-admin"},"url":"https:\/\/griddb.net\/ja\/author\/griddb-admin\/"}]}},"_links":{"self":[{"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50893","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/users\/41"}],"replies":[{"embeddable":true,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/comments?post=50893"}],"version-history":[{"count":1,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50893\/revisions"}],"predecessor-version":[{"id":51714,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/posts\/50893\/revisions\/51714"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/media\/49670"}],"wp:attachment":[{"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/media?parent=50893"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/categories?post=50893"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/griddb.net\/ja\/wp-json\/wp\/v2\/tags?post=50893"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}