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KDD
2004
ACM
211views Data Mining» more  KDD 2004»
15 years 10 months ago
Towards parameter-free data mining
Most data mining algorithms require the setting of many input parameters. Two main dangers of working with parameter-laden algorithms are the following. First, incorrect settings ...
Eamonn J. Keogh, Stefano Lonardi, Chotirat (Ann) R...
SIGMOD
2008
ACM
131views Database» more  SIGMOD 2008»
15 years 10 months ago
Discovering topical structures of databases
The increasing complexity of enterprise databases and the prevalent lack of documentation incur significant cost in both understanding and integrating the databases. Existing solu...
Wensheng Wu, Berthold Reinwald, Yannis Sismanis, R...
DILS
2006
Springer
15 years 1 months ago
Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
Tobias Kuhn, Loïc Royer, Norbert E. Fuchs, Mi...
DSN
2009
IEEE
15 years 4 months ago
Spam detection in voice-over-IP calls through semi-supervised clustering
In this paper, we present an approach for detection of spam calls over IP telephony called SPIT in VoIP systems. SPIT detection is different from spam detection in email in that t...
Yu-Sung Wu, Saurabh Bagchi, Navjot Singh, Ratsamee...
ICCBR
2003
Springer
15 years 3 months ago
Case Mining from Large Databases
Abstract. This paper presents an approach of case mining to automatically discover case bases from large datasets in order to improve both the speed and the quality of case based r...
Qiang Yang, Hong Cheng