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» An Overview of Database Mining Techniques
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KDD
2000
ACM
110views Data Mining» more  KDD 2000»
13 years 11 months ago
An empirical analysis of techniques for constructing and searching k-dimensional trees
Affordable, fast computers with large memories have lessened the demand for program efficiency, but applications such as browsing and searching very large databases often have rat...
Douglas A. Talbert, Douglas H. Fisher
ICDM
2003
IEEE
238views Data Mining» more  ICDM 2003»
14 years 1 months ago
Sentiment Analyzer: Extracting Sentiments about a Given Topic using Natural Language Processing Techniques
We present Sentiment Analyzer (SA) that extracts sentiment (or opinion) about a subject from online text documents. Instead of classifying the sentiment of an entire document abou...
Jeonghee Yi, Tetsuya Nasukawa, Razvan C. Bunescu, ...
SDM
2009
SIAM
114views Data Mining» more  SDM 2009»
14 years 5 months ago
Top-k Correlative Graph Mining.
Correlation mining has been widely studied due to its ability for discovering the underlying occurrence dependency between objects. However, correlation mining in graph databases ...
Yiping Ke, James Cheng, Jeffrey Xu Yu
DEXA
2008
Springer
90views Database» more  DEXA 2008»
13 years 9 months ago
Knowledge Mining for the Business Analyst
There is an extensive literature on data mining techniques, including several applications of these techniques in the e-commerce setting. However, all previous approaches require t...
Themis Palpanas, Jakka Sairamesh
AISADM
2007
Springer
14 years 2 months ago
Peer-to-Peer Data Mining, Privacy Issues, and Games
Peer-to-Peer (P2P) networks are gaining increasing popularity in many distributed applications such as file-sharing, network storage, web caching, searching and indexing of releva...
Kanishka Bhaduri, Kamalika Das, Hillol Kargupta