机译:信息挖掘-对最新进展的反思以及数据,文本和媒体挖掘的未来之路
Department of Operations and Information Management, School of Business, University of Connecticut, United States;
Department of Operations and Information Management,School of Business, University of Connecticut, United States Katholieke Universiteit Leuven, Faculty of Business and Economics, Department of Decision Sciences and Information Management, Belgium;
Katholieke Universiteit Leuven, Faculty of Business and Economics,Department of Decision Sciences and Information Management, Belgium;
data mining; text mining; media mining; information mining; opinion and sentiment analysis;
机译:前面的岩石路吗?对撒哈拉以南非洲小规模采矿前景的批判性思考
机译:当大数据成为头条新闻时:在新闻媒体中开采大数据覆盖的文本
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机译:基于社交媒体和文本挖掘系统的道路状况监控应用:案例研究:East Java
机译:一种新颖的叙事文本挖掘数据挖掘方法及其在MSHA事故,伤害和疾病数据库中的应用。
机译:集成文本挖掘数据挖掘和网络分析以识别遗传性乳腺癌趋势
机译:通过文本进行数据挖掘,以科学研究为目的:灰色文献的文本和数据挖掘