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SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 9 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
DASFAA
2004
IEEE
125views Database» more  DASFAA 2004»
14 years 18 days ago
Reducing Communication Cost in a Privacy Preserving Distributed Association Rule Mining
Data mining is a process that analyzes voluminous digital data in order to discover hidden but useful patterns from digital data. However, discovery of such hidden patterns has sta...
Mafruz Zaman Ashrafi, David Taniar, Kate A. Smith
IJIT
2004
13 years 10 months ago
IMDC: An Image-Mapped Data Clustering Technique for Large Datasets
In this paper, we present a new algorithm for clustering data in large datasets using image processing approaches. First the dataset is mapped into a binary image plane. The synthe...
Faruq A. Al-Omari, Nabeel I. Al-Fayoumi
CDVE
2007
Springer
165views Visualization» more  CDVE 2007»
14 years 3 months ago
Private Data Management in Collaborative Environments
Organizations are under increasing pressures to manage all of the personal data concerning their customers and employees in a responsible manner. With the advancement of informatio...
Larry Korba, Ronggong Song, George Yee, Andrew S. ...
ICDE
2008
IEEE
195views Database» more  ICDE 2008»
14 years 10 months ago
LOCUST: An Online Analytical Processing Framework for High Dimensional Classification of Data Streams
Abstract-- In recent years, data streams have become ubiquitous because of advances in hardware and software technology. The ability to adapt conventional mining problems to data s...
Charu C. Aggarwal, Philip S. Yu