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==研究==

==研究==

该领域的首要专业机构是计算机协会 ACM的知识发现和数据挖掘特别兴趣小组 SIGKDD。<ref>{{cite web|url=http://academic.research.microsoft.com/?SearchDomain=2&SubDomain=7&entitytype=2|title=Microsoft Academic Search: Top conferences in data mining | publisher=[[Microsoft Academic Search]]}}</ref><ref>{{cite web|url=https://scholar.google.de/citations?view_op=top_venues&hl=en&vq=eng_datamininganalysis|title=Google Scholar: Top publications - Data Mining & Analysis|publisher=[[Google Scholar]]}}</ref>自1989年以来，ACM SIG每年举办一次国际会议并出版会议记录，自1999年起，它还出版了一份名为“SIGKDD探索”的两年期学术期刊。<ref>[http://www.kdd.org/conferences.php Proceedings] {{Webarchive|url=https://web.archive.org/web/20100430120252/http://www.kdd.org/conferences.php |date=2010-04-30 }}, International Conferences on Knowledge Discovery and Data Mining, ACM, New York.</ref> and since 1999 it has published a biannual [[academic journal]] titled "SIGKDD Explorations".<ref>[http://www.kdd.org/explorations/about.php SIGKDD Explorations], ACM, New York.</ref>

该领域的首要专业机构是计算机协会 ACM的知识发现和数据挖掘特别兴趣小组 SIGKDD。<ref>{{cite web|url=http://academic.research.microsoft.com/?SearchDomain=2&SubDomain=7&entitytype=2|title=Microsoft Academic Search: Top conferences in data mining | publisher=[[Microsoft Academic Search]]}}</ref><ref>{{cite web|url=https://scholar.google.de/citations?view_op=top_venues&hl=en&vq=eng_datamininganalysis|title=Google Scholar: Top publications - Data Mining & Analysis|publisher=[[Google Scholar]]}}</ref>自1989年以来，ACM SIG每年举办一次国际会议并出版会议记录<ref>[http://www.kdd.org/conferences.php Proceedings] {{Webarchive|url=https://web.archive.org/web/20100430120252/http://www.kdd.org/conferences.php |date=2010-04-30 }}, International Conferences on Knowledge Discovery and Data Mining, ACM, New York.</ref>，自1999年起，它还出版了一份名为“SIGKDD探索”的两年期学术期刊<ref>[http://www.kdd.org/explorations/about.php SIGKDD Explorations], ACM, New York.</ref>。