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KDD
2010
ACM
233views Data Mining» more  KDD 2010»
15 years 10 months ago
Evolutionary hierarchical dirichlet processes for multiple correlated time-varying corpora
Mining cluster evolution from multiple correlated time-varying text corpora is important in exploratory text analytics. In this paper, we propose an approach called evolutionary h...
Jianwen Zhang, Yangqiu Song, Changshui Zhang, Shix...
KES
2005
Springer
15 years 11 months ago
Design of a Digital Forensics Image Mining System
Increasing amount of illicit image data transmitted via the internet has triggered the need to develop effective image mining systems for digital forensics purposes. This paper dis...
Ross Brown, Binh Pham, Olivier Y. de Vel
KDD
2004
ACM
144views Data Mining» more  KDD 2004»
16 years 6 months ago
IncSpan: incremental mining of sequential patterns in large database
Many real life sequence databases, such as customer shopping sequences, medical treatment sequences, etc., grow incrementally. It is undesirable to mine sequential patterns from s...
Hong Cheng, Xifeng Yan, Jiawei Han
SIGSOFT
2010
ACM
15 years 4 months ago
Software intelligence: the future of mining software engineering data
Mining software engineering data has emerged as a successful research direction over the past decade. In this position paper, we advocate Software Intelligence (SI) as the future ...
Ahmed E. Hassan, Tao Xie
SIGMOD
2007
ACM
151views Database» more  SIGMOD 2007»
16 years 6 months ago
The case for a wide-table approach to manage sparse relational data sets
A "sparse" data set typically has hundreds or even thousands of attributes, but most objects have non-null values for only a small number of these attributes. A popular ...
Eric Chu, Jennifer L. Beckmann, Jeffrey F. Naughto...