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» An Overview of Database Mining Techniques
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KDD
2005
ACM
107views Data Mining» more  KDD 2005»
14 years 1 months ago
Predicting the product purchase patterns of corporate customers
This paper describes TIPPPS (Time Interleaved Product Purchase Prediction System), which analyses billing data of corporate customers in a large telecommunications company in orde...
Bhavani Raskutti, Alan Herschtal
KDD
2010
ACM
245views Data Mining» more  KDD 2010»
13 years 11 months ago
Flexible constrained spectral clustering
Constrained clustering has been well-studied for algorithms like K-means and hierarchical agglomerative clustering. However, how to encode constraints into spectral clustering rem...
Xiang Wang, Ian Davidson
WWW
2009
ACM
14 years 9 months ago
Exploiting web search to generate synonyms for entities
Tasks recognizing named entities such as products, people names, or locations from documents have recently received significant attention in the literature. Many solutions to thes...
Surajit Chaudhuri, Venkatesh Ganti, Dong Xin
RECOMB
2007
Springer
14 years 8 months ago
QNet: A Tool for Querying Protein Interaction Networks
Molecular interaction databases can be used to study the evolution of molecular pathways across species. Querying such pathways is a challenging computational problem, and recent e...
Banu Dost, Tomer Shlomi, Nitin Gupta 0002, Eytan R...
IPPS
2006
IEEE
14 years 2 months ago
Design and analysis of a multi-dimensional data sampling service for large scale data analysis applications
Sampling is a widely used technique to increase efficiency in database and data mining applications operating on large dataset. In this paper we present a scalable sampling imple...
Xi Zhang, Tahsin M. Kurç, Joel H. Saltz, Sr...