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KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 8 days ago
Boosting for Text Classification with Semantic Features
Abstract. Current text classification systems typically use term stems for representing document content. Semantic Web technologies allow the usage of features on a higher semantic...
Stephan Bloehdorn, Andreas Hotho
AUSDM
2006
Springer
139views Data Mining» more  AUSDM 2006»
15 years 3 months ago
Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text
An increasing number of language and speech applications are gearing towards the use of texts from online sources as input. Despite such rise, not much work can be found in the as...
Wilson Wong, Wei Liu, Mohammed Bennamoun
111
Voted
WWW
2003
ACM
16 years 16 days ago
Mining newsgroups using networks arising from social behavior
Recent advances in information retrieval over hyperlinked corpora have convincinglydemonstratedthat links carry less noisy information than text. We investigate the feasibility of...
Rakesh Agrawal, Sridhar Rajagopalan, Ramakrishnan ...
ICDE
2006
IEEE
192views Database» more  ICDE 2006»
15 years 6 months ago
Mining Executive Compensation Data from SEC Filings
In recent years, corporate governance has become a more and more important concern in investment decision-making. As one of the most important factors in evaluating corporate gove...
Chengmin Ding, Ping Chen
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
15 years 5 months ago
Ontologies Improve Text Document Clustering
Text document clustering plays an important role in providing intuitive navigation and browsing mechanisms by organizing large sets of documents into a small number of meaningful ...
Andreas Hotho, Steffen Staab, Gerd Stumme