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» A Scalable Method for Visualising Changes in Portfolio Data
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AAAI
2012
11 years 10 months ago
Discovering Spammers in Social Networks
As the popularity of the social media increases, as evidenced in Twitter, Facebook and China’s Renren, spamming activities also picked up in numbers and variety. On social netwo...
Yin Zhu, Xiao Wang, ErHeng Zhong, Nathan Nan Liu, ...
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
14 years 8 months ago
CFI-Stream: mining closed frequent itemsets in data streams
Mining frequent closed itemsets provides complete and condensed information for non-redundant association rules generation. Extensive studies have been done on mining frequent clo...
Nan Jiang, Le Gruenwald
VLDB
2001
ACM
109views Database» more  VLDB 2001»
13 years 12 months ago
Mining Multi-Dimensional Constrained Gradients in Data Cubes
Constrained gradient analysis (similar to the “cubegrade” problem posed by Imielinski, et al. [9]) is to extract pairs of similar cell characteristics associated with big chan...
Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei...
ICDE
2006
IEEE
207views Database» more  ICDE 2006»
14 years 8 months ago
Automatic Sales Lead Generation from Web Data
Speed to market is critical to companies that are driven by sales in a competitive market. The earlier a potential customer can be approached in the decision making process of a p...
Ganesh Ramakrishnan, Sachindra Joshi, Sumit Negi, ...
CIKM
2006
Springer
13 years 9 months ago
Efficiently clustering transactional data with weighted coverage density
In this paper, we propose a fast, memory-efficient, and scalable clustering algorithm for analyzing transactional data. Our approach has three unique features. First, we use the c...
Hua Yan, Keke Chen, Ling Liu