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CIKM
2009
Springer
15 years 25 days ago
Diverging patterns: discovering significant frequency change dissimilarities in large databases
In this paper, we present a framework for mining diverging patterns, a new type of contrast patterns whose frequency changes significantly differently in two data sets, e.g., it c...
Aijun An, Qian Wan, Jiashu Zhao, Xiangji Huang
IJWET
2010
86views more  IJWET 2010»
14 years 9 months ago
Semi-automatic financial events discovery based on lexico-semantic patterns
: Due to the market sensitivity to emerging news, investors on financial markets need to continuously monitor financial events when deciding on buying and selling equities. We prop...
Jethro Borsje, Frederik Hogenboom, Flavius Frasinc...
SIGSOFT
2007
ACM
16 years 3 months ago
An empirical study on the evolution of design patterns
Design patterns are solutions to recurring design problems, conceived to increase benefits in terms of reuse, code quality and, above all, maintainability and resilience to change...
Lerina Aversano, Gerardo Canfora, Luigi Cerulo, Co...
CIKM
2009
Springer
15 years 9 months ago
Frequent subgraph pattern mining on uncertain graph data
Graph data are subject to uncertainties in many applications due to incompleteness and imprecision of data. Mining uncertain graph data is semantically different from and computat...
Zhaonian Zou, Jianzhong Li, Hong Gao, Shuo Zhang
INFOVIS
2000
IEEE
15 years 7 months ago
Visualizing Sequential Patterns for Text Mining
A sequential pattern in data mining is a finite series of elements such as A → B → C → D where A, B, C, and D are elements of the same domain. The mining of sequential patte...
Pak Chung Wong, Wendy Cowley, Harlan Foote, Elizab...