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KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 7 months ago
Interestingness of frequent itemsets using Bayesian networks as background knowledge
The paper presents a method for pruning frequent itemsets based on background knowledge represented by a Bayesian network. The interestingness of an itemset is defined as the abso...
Szymon Jaroszewicz, Dan A. Simovici
181
Voted
ACL
2012
13 years 9 months ago
Social Event Radar: A Bilingual Context Mining and Sentiment Analysis Summarization System
Social Event Radar is a new social networking-based service platform, that aim to alert as well as monitor any merchandise flaws, food-safety related issues, unexpected eruption o...
Wen-Tai Hsieh, Chen Ming Wu, Tsun Ku, Seng-cho Tim...
ICDM
2007
IEEE
121views Data Mining» more  ICDM 2007»
16 years 1 months ago
ORIGAMI: Mining Representative Orthogonal Graph Patterns
In this paper, we introduce the concept of α-orthogonal patterns to mine a representative set of graph patterns. Intuitively, two graph patterns are α-orthogonal if their simila...
Mohammad Al Hasan, Vineet Chaoji, Saeed Salem, J&e...
CF
2010
ACM
15 years 10 months ago
Towards chip-on-chip neuroscience: fast mining of neuronal spike streams using graphics hardware
Computational neuroscience is being revolutionized with the advent of multi-electrode arrays that provide real-time, dynamic perspectives into brain function. Mining neuronal spik...
Yong Cao, Debprakash Patnaik, Sean P. Ponce, Jerem...
SSDBM
2003
IEEE
115views Database» more  SSDBM 2003»
15 years 12 months ago
Efficient Update and Retrieval of Objects in a Multiresolution Geospatial Database
Many emerging applications benefit from the extraction of geospatial data specified at different resolutions for viewing purposes. Data must also be topologically accurate and up-...
Sham Prasher, Xiaofang Zhou