Information mining - Reflections on recent advancements and the road ahead in data, text, and media mining

被引：40

作者：

Gopal, Ram ^{[1
]}

Marsden, James R. ^{[1
]}

Vanthienen, Jan ^{[2
]}

机构：

[1] Univ Connecticut, Sch Business, Dept Operat & Informat Management, Storrs, CT 06269 USA

[2] Katholieke Univ Leuven, Fac Business & Econ, Dept Decis Sci & Informat Management, Informat Syst Grp, Louvain, Belgium

来源：

DECISION SUPPORT SYSTEMS | 2011年 / 51卷 / 04期

关键词：

Data mining; Text mining; Media mining; Information mining; Opinion and sentiment analysis; E-COMMERCE;

D O I：

10.1016/j.dss.2011.01.008

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In this introduction, we briefly summarize the state of data and text mining today. Taking a very broad view, we use the term information mining to refer to the organization and analysis of structured or unstructured data that can be quantitative, textual, and/or pictorial in nature. The key question, in our view, is, "How can we transform data (in the very broad sense of this term) into 'actionable knowledge', knowledge that we can use in pursuit of a specified objective(s)." After detailing a set of key components of information mining, we introduce each of the papers in this volume and detail the focus of their contributions. (C) 2011 Elsevier B.V. All rights reserved.

引用

页码：727 / 731

页数：5

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