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PKDD
2001
Springer
114views Data Mining» more  PKDD 2001»
13 years 12 months ago
A Study on the Hierarchical Data Clustering Algorithm Based on Gravity Theory
This paper discusses the clustering quality and complexities of the hierarchical data clustering algorithm based on gravity theory. The gravitybased clustering algorithm simulates ...
Yen-Jen Oyang, Chien-Yu Chen, Tsui-Wei Yang
ASC
2008
13 years 7 months ago
Dynamic data assigning assessment clustering of streaming data
: Discovering interesting patterns or substructures in data streams is an important challenge in data mining. Clustering algorithms are very often applied to identify single substr...
Olga Georgieva, Frank Klawonn
CORR
2006
Springer
116views Education» more  CORR 2006»
13 years 7 months ago
Quantitative Measurements of the Influence of Participant Roles during Peer Review Meetings
Peer review meetings (PRMs) are formal meetings during which peers systematically analyze artifacts to improve their quality and report on non-conformities. This paper presents an...
Patrick d'Astous, Pierre N. Robillard, Franç...
CIKM
2010
Springer
13 years 6 months ago
Detecting product review spammers using rating behaviors
This paper aims to detect users generating spam reviews or review spammers. We identify several characteristic behaviors of review spammers and model these behaviors so as to dete...
Ee-Peng Lim, Viet-An Nguyen, Nitin Jindal, Bing Li...
MICAI
2005
Springer
14 years 1 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...