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» Graph Mining based on a Data Partitioning Approach
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SDM
2009
SIAM
157views Data Mining» more  SDM 2009»
16 years 3 months ago
MUSK: Uniform Sampling of k Maximal Patterns.
Recent research in frequent pattern mining (FPM) has shifted from obtaining the complete set of frequent patterns to generating only a representative (summary) subset of frequent ...
Mohammad Al Hasan, Mohammed Javeed Zaki
EMNLP
2007
15 years 7 months ago
Incremental Generation of Plural Descriptions: Similarity and Partitioning
Approaches to plural reference generation emphasise descriptive brevity, but often lack empirical backing. This paper describes a corpus-based study of plural descriptions, and pr...
Albert Gatt, Kees van Deemter
KDD
2006
ACM
198views Data Mining» more  KDD 2006»
16 years 6 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
CIVR
2005
Springer
133views Image Analysis» more  CIVR 2005»
15 years 12 months ago
Hot Event Detection and Summarization by Graph Modeling and Matching
This paper proposes a new approach for hot event detection and summarization of news videos. The approach is mainly based on two graph algorithms: optimal matching (OM) and normali...
Yuxin Peng, Chong-Wah Ngo
COMAD
2008
15 years 7 months ago
Disk-Based Sampling for Outlier Detection in High Dimensional Data
We propose an efficient sampling based outlier detection method for large high-dimensional data. Our method consists of two phases. In the first phase, we combine a "sampling...
Timothy de Vries, Sanjay Chawla, Pei Sun, Gia Vinh...