{"id":1213,"date":"2024-02-23T00:00:52","date_gmt":"2024-02-22T16:00:52","guid":{"rendered":"https:\/\/cleardatascience.com\/?p=1213"},"modified":"2023-12-22T12:01:01","modified_gmt":"2023-12-22T04:01:01","slug":"a-comprehensive-guide-to-data-mining-tools-exploring-pros-cons-and-industrial-use-cases","status":"publish","type":"post","link":"https:\/\/cleardatascience.com\/zh-hant\/a-comprehensive-guide-to-data-mining-tools-exploring-pros-cons-and-industrial-use-cases\/","title":{"rendered":"\u6578\u64da\u6316\u6398\u5de5\u5177\u7d9c\u5408\u6307\u5357\uff1a\u63a2\u7d22\u512a\u9ede\u3001\u7f3a\u9ede\u548c\u5de5\u696d\u7528\u4f8b"},"content":{"rendered":"

 <\/p>\n

\u7c21\u4ecb\uff1a<\/h2>\n

\u6578\u64da\u6316\u6398\u5df2\u6210\u70ba\u5f9e\u5927\u578b\u6578\u64da\u96c6\u4e2d\u63d0\u53d6\u6709\u50f9\u503c\u7684\u898b\u89e3\u548c\u6a21\u5f0f\u7684\u95dc\u9375\u904e\u7a0b\u3002\u96a8\u8457\u6578\u64da\u53ef\u7528\u6027\u7684\u63d0\u9ad8\uff0c\u7d44\u7e54\u6b63\u5728\u5229\u7528\u5148\u9032\u7684\u6578\u64da\u6316\u6398\u5de5\u5177\u4f86\u767c\u73fe\u96b1\u85cf\u7684\u8da8\u52e2\uff0c\u505a\u51fa\u660e\u667a\u7684\u6c7a\u7b56\uff0c\u4e26\u7372\u5f97\u7af6\u722d\u512a\u52e2\u3002\u5728\u672c\u6587\u4e2d\uff0c\u6211\u5011\u5c07\u63a2\u8a0e\u548c\u6bd4\u8f03\u4e0d\u540c\u7684\u6578\u64da\u6316\u6398\u5de5\u5177\uff0c\u91cd\u9ede\u4ecb\u7d39\u5b83\u5011\u7684\u512a\u7f3a\u9ede\u548c\u884c\u696d\u7528\u4f8b\u3002\u8b93\u6211\u5011\u958b\u59cb\u5427\uff01<\/p>\n

 <\/p>\n

 <\/p>\n

\"\"<\/p>\n

 <\/p>\n

 <\/p>\n

<\/span>1. \u5feb\u901f\u7926\u6a5f\uff1a<\/h2>\n

\u00a0<\/span><\/p>\n

RapidMiner <\/span>\u662f\u4e00\u6b3e\u529f\u80fd\u5f37\u5927\u4e14\u4f7f\u7528\u8005\u53cb\u597d\u7684\u6578\u64da\u6316\u6398\u5de5\u5177\uff0c\u5b83\u70ba\u69cb\u5efa\u548c\u90e8\u7f72\u9810\u6e2c\u6a21\u578b\u63d0\u4f9b\u4e86\u53ef\u8996\u5316\u7684\u5de5\u4f5c\u6d41\u74b0\u5883\u3002\u5b83\u63d0\u4f9b\u4e86\u5ee3\u6cdb\u7684\u6578\u64da\u6e96\u5099\u3001\u5efa\u6a21\u3001\u8a55\u4f30\u548c\u90e8\u7f72\u529f\u80fd\u3002<\/p>\n

\u00a0<\/span><\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

\u00a0<\/span><\/p>\n

– <\/span>\u76f4\u89c0\u4e14\u8996\u89ba\u4e0a\u5438\u5f15\u4eba\u7684\u4ecb\u9762\uff0c\u6613\u65bc\u4f7f\u7528\u3002<\/p>\n

– <\/span>\u5ee3\u6cdb\u7684\u9810\u69cb\u5efa\u904b\u7b97\u7b26\u548c\u7bc4\u672c\u5eab\u3002<\/p>\n

– <\/span>\u652f\u63f4\u591a\u7a2e\u6578\u64da\u6e90\u548c\u683c\u5f0f\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\uff0c\u5305\u62ec\u6587\u672c\u6316\u6398\u548c\u6df1\u5ea6\u5b78\u7fd2\u3002<\/p>\n

– <\/span>\u5f37\u5927\u7684\u793e\u5340\u652f\u6301\u548c\u6d3b\u8e8d\u7684\u7528\u6236\u793e\u5340\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

\u00a0<\/span><\/p>\n

– <\/span>\u5c0d\u65bc\u8907\u96dc\u7684\u6578\u64da\u6316\u6398\u4efb\u52d9\uff0c\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u5927\u578b\u6578\u64da\u96c6\u7684\u53ef\u64f4\u5145\u6027\u6709\u9650\u3002<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u4e00\u4e9b\u5de5\u5177\u76f8\u6bd4\uff0c\u81ea\u5b9a\u7fa9\u9078\u9805\u6709\u9650\u3002<\/p>\n

– <\/span>\u67d0\u4e9b\u9ad8\u7d1a\u529f\u80fd\u9700\u8981\u984d\u5916\u7684\u64f4\u5c55\u3002<\/p>\n

– <\/span>\u4f01\u696d\u7d1a\u529f\u80fd\u7684\u8a31\u53ef\u6210\u672c\u53ef\u80fd\u76f8\u5c0d\u8f03\u9ad8\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aRapidMiner <\/span>\u901a\u5e38\u7528\u65bc\u91d1\u878d\u3001\u91ab\u7642\u4fdd\u5065\u548c\u71df\u92b7\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9810\u6e2c\u5efa\u6a21\u3001\u6578\u64da\u53ef\u8996\u5316\u548c\u81ea\u52d5\u5316\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span>\u00a0\u00a0<\/span>\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

2. KNIME:<\/span><\/h2>\n

KNIME <\/span>\u662f\u4e00\u500b\u958b\u6e90\u6578\u64da\u6316\u6398\u5de5\u5177\uff0c\u63d0\u4f9b\u6a21\u7d44\u5316\u548c\u53ef\u8996\u5316\u7684\u5de5\u4f5c\u6d41\u7a0b\u74b0\u5883\u3002\u5b83\u5141\u8a31\u4f7f\u7528\u8005\u901a\u904e\u9023\u63a5\u7a31\u70ba\u7bc0\u9ede\u7684\u9810\u69cb\u5efa\u5143\u4ef6\u4f86\u5275\u5efa\u8907\u96dc\u7684\u6578\u64da\u6316\u6398\u5de5\u4f5c\u6d41\u3002<\/p>\n

\u00a0\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u5177\u6709\u5f37\u5927\u4e14\u652f\u63f4\u6027\u7684\u793e\u5340\u7684\u958b\u6e90\u5e73\u81fa\u3002<\/p>\n

– <\/span>\u9748\u6d3b\u7684\u6a21\u7d44\u5316\u67b6\u69cb\uff0c\u7528\u65bc\u69cb\u5efa\u81ea\u5b9a\u7fa9\u5de5\u4f5c\u6d41\u7a0b\u3002<\/p>\n

– <\/span>\u652f\u63f4\u591a\u7a2e\u6578\u64da\u6e90\u548c\u683c\u5f0f\u3002<\/p>\n

– <\/span>\u8207\u6d41\u884c\u7684\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u96c6\u6210\uff0c\u4f8b\u5982 R <\/span>\u548c Python<\/span>\u3002<\/p>\n

– <\/span>\u5927\u91cf\u9810\u69cb\u5efa\u7684\u7bc0\u9ede\u548c\u5916\u639b\u7a0b\u5f0f\u3002 \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0<\/span><\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u9700\u8981\u4e00\u4e9b\u7a0b\u5f0f\u8a2d\u8a08\u6280\u80fd\u624d\u80fd\u9032\u884c\u9ad8\u7d1a\u5b9a\u5236\u3002<\/p>\n

– <\/span>\u8207\u5c08\u7528\u5de5\u5177\u76f8\u6bd4\uff0c\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\u6709\u9650\u3002<\/p>\n

– <\/span>\u5c0d\u65bc\u521d\u5b78\u8005\u4f86\u8aaa\uff0c\u5b78\u7fd2\u66f2\u7dda\u76f8\u5c0d\u9661\u5ced\u3002<\/p>\n

– <\/span>\u8d85\u5927\u578b\u6578\u64da\u96c6\u7684\u6027\u80fd\u9650\u5236\u3002<\/p>\n

– <\/span>\u5c0d\u65bc\u65b0\u7528\u6236\u4f86\u8aaa\uff0c\u6587\u6a94\u53ef\u80fd\u6703\u8b93\u4eba\u4e0d\u77e5\u6240\u63aa\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aKNIME <\/span>\u901a\u5e38\u7528\u65bc\u88fd\u85e5\u3001\u88fd\u9020\u548c\u91d1\u878d\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9748\u6d3b\u6027\u3001\u53ef\u5b9a\u88fd\u6027\u548c\u8207\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/p>\n

 <\/p>\n

3. SAS<\/span>\u4f01\u696d\u7926\u6a5f\uff1a<\/h2>\n

SAS Enterprise Miner <\/span>\u662f SAS <\/span>\u63d0\u4f9b\u7684\u7d9c\u5408\u6027\u6578\u64da\u6316\u6398\u548c\u9810\u6e2c\u5206\u6790\u5de5\u5177\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u7cfb\u5217\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\uff0c\u7528\u65bc\u69cb\u5efa\u8907\u96dc\u6a21\u578b\u548c\u57f7\u884c\u6df1\u5165\u5206\u6790\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\uff0c\u5305\u62ec\u6578\u64da\u63a2\u7d22\u548c\u9810\u6e2c\u5efa\u6a21\u3002<\/p>\n

– <\/span>\u8207\u5176\u4ed6SAS<\/span>\u7522\u54c1\u548c\u89e3\u6c7a\u65b9\u6848\u6574\u5408\u3002<\/p>\n

– <\/span>\u7528\u65bc\u8655\u7406\u5927\u578b\u6578\u64da\u96c6\u7684\u53ef\u64f4\u5c55\u67b6\u69cb\u3002<\/p>\n

– <\/span>\u5f37\u5927\u7684\u6578\u64da\u53ef\u8996\u5316\u548c\u5831\u544a\u529f\u80fd\u3002<\/p>\n

– <\/span>\u70ba\u6578\u64da\u6e96\u5099\u548c\u8f49\u63db\u63d0\u4f9b\u5ee3\u6cdb\u652f\u63f4\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u4f01\u696d\u7d1a\u529f\u80fd\u7684\u8a31\u53ef\u6210\u672c\u8f03\u9ad8\u3002<\/p>\n

– <\/span>\u8907\u96dc\u529f\u80fd\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u76f8\u5c0d\u8907\u96dc\u7684\u8a2d\u7f6e\u548c\u7ba1\u7406\u904e\u7a0b\u3002<\/p>\n

– <\/span>\u53ef\u8996\u5316\u7684\u81ea\u5b9a\u7fa9\u9078\u9805\u6709\u9650\u3002<\/p>\n

– <\/span>\u9700\u8981SAS<\/span>\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u7279\u5b9a\u77e5\u8b58\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aSAS Enterprise Miner <\/span>\u901a\u5e38\u7528\u65bc\u91d1\u878d\u3001\u91ab\u7642\u4fdd\u5065\u548c\u96fb\u4fe1\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9ad8\u7d1a\u5206\u6790\u3001\u53ef\u64f4\u5145\u6027\u4ee5\u53ca\u8207\u5176\u4ed6 SAS <\/span>\u89e3\u6c7a\u65b9\u6848\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

4. Alteryx:<\/span><\/h2>\n

Alteryx <\/span>\u662f\u4e00\u500b\u81ea\u52a9\u5f0f\u6578\u64da\u6316\u6398\u548c\u5206\u6790\u5e73\u81fa\uff0c\u5141\u8a31\u4f7f\u7528\u8005\u6df7\u5408\u3001\u5206\u6790\u548c\u53ef\u8996\u5316\u6578\u64da\uff0c\u800c\u7121\u9700\u5927\u91cf\u7de8\u78bc\u3002\u5b83\u5c08\u6ce8\u65bc\u7c21\u5316\u8907\u96dc\u7684\u6578\u64da\u6d41\u7a0b\u548c\u81ea\u52d5\u5316\u91cd\u8907\u6027\u4efb\u52d9\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u4f7f\u7528\u8005\u53cb\u597d\u7684\u4ecb\u9762\uff0c\u9069\u5408\u975e\u6280\u8853\u4f7f\u7528\u8005\u3002<\/p>\n

– <\/span>\u62d6\u653e\u529f\u80fd\uff0c\u4fbf\u65bc\u6578\u64da\u64cd\u4f5c\u3002<\/p>\n

– <\/span>\u96c6\u6210\u7684\u7a7a\u9593\u5206\u6790\u548c\u88fd\u5716\u529f\u80fd\u3002<\/p>\n

– <\/span>\u8cc7\u6599\u5de5\u4f5c\u6d41\u548c\u91cd\u8907\u6027\u4efb\u52d9\u7684\u81ea\u52d5\u5316\u3002<\/p>\n

– <\/span>\u8207\u6d41\u884c\u7684 BI <\/span>\u548c\u53ef\u8996\u5316\u5de5\u5177\u6574\u5408\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u4e00\u4e9b\u5de5\u5177\u76f8\u6bd4\uff0c\u50f9\u683c\u76f8\u5c0d\u8f03\u9ad8\u3002<\/p>\n

– <\/span>\u8207\u5c08\u7528\u5de5\u5177\u76f8\u6bd4\uff0c\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\u6709\u9650\u3002<\/p>\n

– <\/span>\u8d85\u5927\u578b\u6578\u64da\u96c6\u7684\u6027\u80fd\u9650\u5236\u3002<\/p>\n

– <\/span>\u5c0d\u81ea\u5b9a\u7fa9\u8173\u672c\u548c\u7de8\u78bc\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u529f\u80fd\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aAlteryx <\/span>\u901a\u5e38\u7528\u65bc\u96f6\u552e\u3001\u884c\u92b7\u548c\u91d1\u878d\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u81ea\u52a9\u5206\u6790\u3001\u6578\u64da\u6df7\u5408\u548c\u81ea\u52d5\u5316\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n

5. IBM SPSS<\/span>\u5efa\u6a21\u5668\uff1a<\/h2>\n

\u00a0<\/span><\/p>\n

IBM SPSS Modeler <\/span>\u662f\u4e00\u500b\u5168\u9762\u7684\u6578\u64da\u6316\u6398\u548c\u9810\u6e2c\u5206\u6790\u5de5\u5177\uff0c\u53ef\u70ba\u69cb\u5efa\u548c\u90e8\u7f72\u6a21\u578b\u63d0\u4f9b\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\u3002\u5b83\u70ba\u6578\u64da\u6e96\u5099\u3001\u5efa\u6a21\u548c\u8a55\u4f30\u63d0\u4f9b\u4e86\u4e00\u500b\u53ef\u8996\u5316\u4ecb\u9762\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u9ad8\u7d1a\u5206\u6790\u529f\u80fd\uff0c\u5305\u62ec\u6578\u64da\u63a2\u7d22\u548c\u9810\u6e2c\u5efa\u6a21\u3002<\/p>\n

– <\/span>\u8207\u5176\u4ed6 IBM <\/span>\u7522\u54c1\u548c\u89e3\u6c7a\u65b9\u6848\u6574\u5408\u3002<\/p>\n

– <\/span>\u7528\u65bc\u8655\u7406\u5927\u578b\u6578\u64da\u96c6\u7684\u53ef\u64f4\u5c55\u67b6\u69cb\u3002<\/p>\n

– <\/span>\u70ba\u6578\u64da\u6e96\u5099\u548c\u8f49\u63db\u63d0\u4f9b\u5ee3\u6cdb\u652f\u63f4\u3002<\/p>\n

– <\/span>\u5f37\u5927\u7684\u5831\u544a\u548c\u53ef\u8996\u5316\u529f\u80fd\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u4f01\u696d\u7d1a\u529f\u80fd\u7684\u8a31\u53ef\u6210\u672c\u8f03\u9ad8\u3002<\/p>\n

– <\/span>\u8907\u96dc\u529f\u80fd\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u53ef\u8996\u5316\u7684\u81ea\u5b9a\u7fa9\u9078\u9805\u6709\u9650\u3002<\/p>\n

– <\/span>\u9700\u8981\u5177\u5099 SPSS <\/span>\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u7279\u5b9a\u77e5\u8b58\u3002<\/p>\n

– <\/span>\u76f8\u5c0d\u8907\u96dc\u7684\u8a2d\u7f6e\u548c\u7ba1\u7406\u904e\u7a0b\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aIBM SPSS Modeler <\/span>\u901a\u5e38\u7528\u65bc\u5e02\u5834\u7814\u7a76\u3001\u91d1\u878d\u548c\u91ab\u7642\u4fdd\u5065\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9ad8\u7d1a\u5206\u6790\u3001\u53ef\u64f4\u5145\u6027\u4ee5\u53ca\u8207\u5176\u4ed6 IBM <\/span>\u89e3\u6c7a\u65b9\u6848\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

 <\/p>\n

 <\/p>\n

6. R Studio:<\/span><\/h2>\n

\u00a0<\/span><\/p>\n

R Studio <\/span>\u662f R <\/span>\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u958b\u6e90\u6574\u5408\u958b\u767c\u74b0\u5883 \uff08IDE<\/span>\uff09\uff0c\u5ee3\u6cdb\u7528\u65bc\u7d71\u8a08\u8a08\u7b97\u548c\u6578\u64da\u6316\u6398\u3002\u5b83\u70ba\u6578\u64da\u5206\u6790\u63d0\u4f9b\u4e86\u5ee3\u6cdb\u7684\u8edf\u9ad4\u5305\u548c\u5eab\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u64c1\u6709\u9f90\u5927\u800c\u6d3b\u8e8d\u7684\u793e\u5340\u7684\u958b\u6e90\u5e73\u81fa\u3002<\/p>\n

– <\/span>\u5168\u9762\u7684\u7d71\u8a08\u548c\u6578\u64da\u6316\u6398\u80fd\u529b\u3002<\/p>\n

– <\/span>\u5ee3\u6cdb\u7684\u5957\u4ef6\u548c\u5eab\u96c6\u5408\u3002<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u548c\u5de5\u5177\u6574\u5408\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u53ef\u8996\u5316\u548c\u5831\u544a\u529f\u80fd\u3002<\/p>\n

\u00a0<\/span><\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u521d\u5b78\u8005\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u5c0d\u5927\u6578\u64da\u8655\u7406\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u4e00\u4e9b\u5de5\u5177\u76f8\u6bd4\uff0c\u6027\u80fd\u76f8\u5c0d\u8f03\u6162\u3002<\/p>\n

– <\/span>\u9700\u8981\u7a0b\u5f0f\u8a2d\u8a08\u6280\u80fd\u624d\u80fd\u9032\u884c\u5b9a\u88fd\u3002<\/p>\n

– <\/span>\u5c0d\u5de5\u4f5c\u6d41\u81ea\u52d5\u5316\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aR Studio <\/span>\u901a\u5e38\u7528\u65bc\u91ab\u7642\u4fdd\u5065\u3001\u91d1\u878d\u548c\u5b78\u8853\u754c\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9ad8\u7d1a\u7d71\u8a08\u5206\u6790\u3001\u81ea\u5b9a\u7fa9\u4ee5\u53ca\u8207\u5176\u4ed6\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/span><\/span><\/p>\n

 <\/p>\n

7. Python Jupyter<\/span>\u7b46\u8a18\u7c3f\uff1a<\/h2>\n

\u00a0<\/span><\/p>\n

Python Jupyter Notebook <\/span>\u662f\u4e00\u500b\u958b\u6e90 Web <\/span>\u61c9\u7528\u7a0b\u5f0f\uff0c\u5141\u8a31\u4f7f\u7528\u8005\u5275\u5efa\u548c\u5171\u7528\u5305\u542b\u5be6\u6642\u4ee3\u78bc\u3001\u53ef\u8996\u5316\u6548\u679c\u548c\u6558\u8ff0\u6587\u672c\u7684\u6587\u4ef6\u3002\u5b83\u70ba\u6578\u64da\u6316\u6398\u548c\u5206\u6790\u63d0\u4f9b\u4e86\u4e00\u500b\u9748\u6d3b\u7684\u4e92\u52d5\u5f0f\u74b0\u5883\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u64c1\u6709\u9f90\u5927\u800c\u6d3b\u8e8d\u7684\u793e\u5340\u7684\u958b\u6e90\u5e73\u81fa\u3002<\/p>\n

– <\/span>\u591a\u529f\u80fd\u4e14\u9748\u6d3b\u7684\u6578\u64da\u5206\u6790\u74b0\u5883\u3002<\/p>\n

– <\/span>\u8207\u5404\u7a2e\u6578\u64da\u8655\u7406\u548c\u53ef\u8996\u5316\u5eab\u96c6\u6210\u3002<\/p>\n

– <\/span>\u652f\u63f4\u4e92\u52d5\u5f0f\u6578\u64da\u63a2\u7d22\u548c\u5efa\u6a21\u3002<\/p>\n

– <\/span>\u8f15\u9b06\u5354\u4f5c\u548c\u5171\u7528\u5206\u6790\u7b46\u8a18\u672c\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u521d\u5b78\u8005\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u5c0d\u5927\u6578\u64da\u8655\u7406\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

– <\/span>\u9700\u8981\u7a0b\u5f0f\u8a2d\u8a08\u6280\u80fd\u624d\u80fd\u9032\u884c\u8907\u96dc\u7684\u5206\u6790\u3002<\/p>\n

– <\/span>\u8207\u67d0\u4e9b\u5c08\u7528\u5de5\u5177\u76f8\u6bd4\uff0c\u6027\u80fd\u76f8\u5c0d\u8f03\u6162\u3002<\/p>\n

– <\/span>\u5c0d\u5de5\u4f5c\u6d41\u81ea\u52d5\u5316\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u884c\u696d\u7528\u4f8b\uff1aPython Jupyter Notebook <\/span>\u901a\u5e38\u7528\u65bc\u7814\u7a76\u3001\u91d1\u878d\u548c\u6578\u64da\u79d1\u5b78\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u9748\u6d3b\u6027\u3001\u4ea4\u4e92\u6027\u4ee5\u53ca\u8207\u5404\u7a2e\u6578\u64da\u8655\u7406\u5eab\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/p>\n

 <\/p>\n

8. Apache Mahout: <\/span><\/h2>\n

\u00a0<\/span>Apache Mahout <\/span>\u662f\u4e00\u500b\u958b\u6e90\u6a5f\u5668\u5b78\u7fd2\u548c\u6578\u64da\u6316\u6398\u5eab\uff0c\u70ba\u5927\u6578\u64da\u8655\u7406\u63d0\u4f9b\u53ef\u64f4\u5c55\u7684\u6f14\u7b97\u6cd5\u3002\u5b83\u65e8\u5728\u8207Apache Hadoop<\/span>\u548c\u5176\u4ed6\u5206\u6563\u5f0f\u8a08\u7b97\u6846\u67b6\u4e00\u8d77\u4f7f\u7528\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u64c1\u6709\u9f90\u5927\u800c\u6d3b\u8e8d\u7684\u793e\u5340\u7684\u958b\u6e90\u5e73\u81fa\u3002<\/p>\n

– <\/span>\u7528\u65bc\u5927\u6578\u64da\u8655\u7406\u7684\u53ef\u64f4\u5c55\u6f14\u7b97\u6cd5\u3002<\/p>\n

– <\/span>\u8207Apache Hadoop<\/span>\u548c\u5176\u4ed6\u5206\u6563\u5f0f\u8a08\u7b97\u6846\u67b6\u96c6\u6210\u3002<\/p>\n

– <\/span>\u652f\u63f4\u5404\u7a2e\u6a5f\u5668\u5b78\u7fd2\u4efb\u52d9\u3002<\/p>\n

– <\/span>\u7528\u65bc\u81ea\u5b9a\u7fa9\u6f14\u7b97\u6cd5\u958b\u767c\u7684\u53ef\u64f4\u5145\u67b6\u69cb\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span>\u7f3a\u9ede\uff1a<\/p>\n

\u00a0– <\/span>\u521d\u5b78\u8005\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u5c0d\u6578\u64da\u53ef\u8996\u5316\u548c\u5831\u544a\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

– <\/span>\u9700\u8981\u7a0b\u5f0f\u8a2d\u8a08\u6280\u80fd\u624d\u80fd\u9032\u884c\u5b9a\u88fd\u548c\u8907\u96dc\u5206\u6790\u3002<\/p>\n

– <\/span>\u8207\u67d0\u4e9b\u5c08\u7528\u5de5\u5177\u76f8\u6bd4\uff0c\u6027\u80fd\u76f8\u5c0d\u8f03\u6162\u3002<\/p>\n

– <\/span>\u6709\u9650\u7684\u6587\u4ef6\u548c\u7528\u6236\u652f\u63f4\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aApache Mahout <\/span>\u901a\u5e38\u7528\u65bc\u96fb\u5b50\u5546\u52d9\u3001\u793e\u4ea4\u5a92\u9ad4\u548c\u96fb\u4fe1\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u53ef\u64f4\u5145\u6027\u3001\u5206\u6563\u5f0f\u8a08\u7b97\u548c\u5927\u6578\u64da\u8655\u7406\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/span><\/p>\n

\u00a0<\/span><\/p>\n

9. Dataiku:<\/span><\/h2>\n

Dataiku <\/span>\u662f\u4e00\u500b\u5354\u4f5c\u5f0f\u7aef\u5230\u7aef\u6578\u64da\u79d1\u5b78\u5e73\u81fa\uff0c\u70ba\u6578\u64da\u6e96\u5099\u3001\u5efa\u6a21\u548c\u90e8\u7f72\u63d0\u4f9b\u7d71\u4e00\u7684\u74b0\u5883\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u500b\u53ef\u8996\u5316\u7684\u4ecb\u9762\uff0c\u4e26\u652f\u63f4\u5404\u7a2e\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u4f7f\u7528\u8005\u53cb\u597d\u7684\u4ecb\u9762\uff0c\u9069\u5408\u975e\u6280\u8853\u4f7f\u7528\u8005\u3002<\/p>\n

– <\/span>\u6578\u64da\u79d1\u5b78\u5c08\u6848\u7684\u96c6\u6210\u548c\u5354\u4f5c\u74b0\u5883\u3002<\/p>\n

– <\/span>\u652f\u63f4\u591a\u7a2e\u6578\u64da\u6e90\u548c\u683c\u5f0f\u3002<\/p>\n

– <\/span>\u8207\u6d41\u884c\u7684\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u548c\u5eab\u96c6\u6210\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u5206\u6790\u548c\u6a5f\u5668\u5b78\u7fd2\u529f\u80fd\u3002<\/p>\n

\u00a0<\/span>\u00a0<\/span><\/p>\n

\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u4e00\u4e9b\u5de5\u5177\u76f8\u6bd4\uff0c\u5b9a\u50f9\u66f4\u9ad8\u3002<\/p>\n

– <\/span>\u5c0d\u5206\u6563\u5f0f\u8a08\u7b97\u548c\u5927\u6578\u64da\u8655\u7406\u7684\u652f\u63f4\u6709\u9650\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u529f\u80fd\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

– <\/span>\u5927\u578b\u6578\u64da\u96c6\u7684\u6027\u80fd\u76f8\u5c0d\u8f03\u6162\u3002<\/p>\n

– <\/span>\u8207\u67d0\u4e9b\u5c08\u7528\u5de5\u5177\u76f8\u6bd4\uff0c\u81ea\u5b9a\u7fa9\u9078\u9805\u6709\u9650\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aDataiku <\/span>\u901a\u5e38\u7528\u65bc\u96f6\u552e\u3001\u91d1\u878d\u548c\u91ab\u7642\u4fdd\u5065\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u5354\u4f5c\u6578\u64da\u79d1\u5b78\u3001\u9ad8\u7d1a\u5206\u6790\u548c\u8207\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u7684\u96c6\u6210\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/span><\/span><\/p>\n

10.<\/span>\u6578\u64da\u6a5f\u68b0\u4eba\uff1a<\/h2>\n

\u00a0<\/span><\/p>\n

DataRobot <\/span>\u662f\u4e00\u500b\u81ea\u52d5\u5316\u6a5f\u5668\u5b78\u7fd2\u5e73\u81fa\uff0c\u4f7f\u7528\u6236\u80fd\u5920\u5feb\u901f\u69cb\u5efa\u548c\u90e8\u7f72\u9810\u6e2c\u6a21\u578b\u3002\u5b83\u5229\u7528\u5148\u9032\u7684\u6f14\u7b97\u6cd5\u548c\u81ea\u52d5\u5316\u6280\u8853\u4f86\u7c21\u5316\u6578\u64da\u6316\u6398\u904e\u7a0b\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u512a\u9ede\uff1a<\/p>\n

– <\/span>\u81ea\u52d5\u5316\u6a5f\u5668\u5b78\u7fd2\u529f\u80fd\uff0c\u53ef\u52a0\u5feb\u6a21\u578b\u69cb\u5efa\u901f\u5ea6\u3002<\/p>\n

– <\/span>\u8207\u6d41\u884c\u7684\u7a0b\u5f0f\u8a2d\u8a08\u8a9e\u8a00\u548c\u6846\u67b6\u96c6\u6210\u3002<\/p>\n

– <\/span>\u5168\u9762\u7684\u6a21\u578b\u8a55\u4f30\u548c\u89e3\u91cb\u529f\u80fd\u3002<\/p>\n

– <\/span>\u652f\u63f4\u591a\u7a2e\u6578\u64da\u6e90\u548c\u683c\u5f0f\u3002<\/p>\n

– <\/span>\u7528\u65bc\u8655\u7406\u5927\u578b\u6578\u64da\u96c6\u7684\u53ef\u64f4\u5c55\u67b6\u69cb\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span>\u7f3a\u9ede\uff1a<\/p>\n

– <\/span>\u8207\u5176\u4ed6\u4e00\u4e9b\u5de5\u5177\u76f8\u6bd4\uff0c\u5b9a\u50f9\u66f4\u9ad8\u3002<\/p>\n

– <\/span>\u9ad8\u7d1a\u4f7f\u7528\u8005\u7684\u81ea\u5b9a\u7fa9\u9078\u9805\u6709\u9650\u3002<\/p>\n

– <\/span>\u9700\u8981\u5c0d\u6a5f\u5668\u5b78\u7fd2\u6982\u5ff5\u6709\u5f88\u597d\u7684\u7406\u89e3\u3002<\/p>\n

– <\/span>\u5c0d\u6a21\u578b\u69cb\u5efa\u904e\u7a0b\u7684\u63a7\u5236\u76f8\u5c0d\u6709\u9650\u3002<\/p>\n

– <\/span>\u521d\u5b78\u8005\u7684\u5b78\u7fd2\u66f2\u7dda\u66f4\u9661\u5ced\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u5de5\u696d\u7528\u4f8b\uff1aDataRobot <\/span>\u901a\u5e38\u7528\u65bc\u91d1\u878d\u3001\u4fdd\u96aa\u548c\u71df\u92b7\u7b49\u884c\u696d\uff0c\u5728\u9019\u4e9b\u884c\u696d\u4e2d\uff0c\u81ea\u52d5\u5316\u6a5f\u5668\u5b78\u7fd2\u3001\u6a21\u578b\u90e8\u7f72\u548c\u53ef\u64f4\u5145\u6027\u81f3\u95dc\u91cd\u8981\u3002<\/p>\n

\u00a0<\/span><\/p>\n

\u00a0<\/span><\/p>\n

\u7d50\u8ad6\uff1a<\/h2>\n

\u00a0<\/span><\/p>\n

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