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ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
14 years 1 days ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan
GVD
2004
107views Database» more  GVD 2004»
13 years 9 months ago
A Representation of Time Series for Temporal Web Mining
Data with temporal information is constantly generated, sampled, gathered, and analyzed in different domains, such as medicine, finance, engineering, environmental sciences, and e...
Mireille Samia
AAAI
2000
13 years 9 months ago
A Mutually Beneficial Integration of Data Mining and Information Extraction
Text mining concerns applying data mining techniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data...
Un Yong Nahm, Raymond J. Mooney
DATAMINE
2008
89views more  DATAMINE 2008»
13 years 8 months ago
Mining conjunctive sequential patterns
Abstract. In this paper we aim at extending the non-derivable condensed representation in frequent itemset mining to sequential pattern mining. We start by showing a negative examp...
Chedy Raïssi, Toon Calders, Pascal Poncelet
JDWM
2007
90views more  JDWM 2007»
13 years 8 months ago
Mining for Mutually Exclusive Items in Transaction Databases
Association rule mining is a popular task that involves the discovery of co-occurences of items in transaction databases. Several extensions of the traditional association rule mi...
George Tzanis, Christos Berberidis