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» Association Rule Mining Algorithms for Set-Valued Data
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SIGKDD
2002
83views more  SIGKDD 2002»
14 years 9 months ago
Towards Effective and Interpretable Data Mining by Visual Interaction
The primary aim of most data mining algorithms is to facilitate the discovery of concise and interpretable information from large amounts of data. However, many of the current for...
Charu C. Aggarwal
KDD
1997
ACM
135views Data Mining» more  KDD 1997»
15 years 1 months ago
Brute-Force Mining of High-Confidence Classification Rules
This paper investigates a brute-force technique for mining classification rules from large data sets. We employ an association rule miner enhanced with new pruning strategies to c...
Roberto J. Bayardo Jr.
IQIS
2004
ACM
15 years 3 months ago
Mining for Patterns in Contradictory Data
Information integration is often faced with the problem that different data sources represent the same set of the real-world objects, but give conflicting values for specific prop...
Heiko Müller, Ulf Leser, Johann Christoph Fre...
ICDM
2005
IEEE
139views Data Mining» more  ICDM 2005»
15 years 3 months ago
Approximate Inverse Frequent Itemset Mining: Privacy, Complexity, and Approximation
In order to generate synthetic basket data sets for better benchmark testing, it is important to integrate characteristics from real-life databases into the synthetic basket data ...
Yongge Wang, Xintao Wu
CORR
2010
Springer
219views Education» more  CORR 2010»
14 years 10 months ago
Finding Sequential Patterns from Large Sequence Data
Data mining is the task of discovering interesting patterns from large amounts of data. There are many data mining tasks, such as classification, clustering, association rule mini...
Mahdi Esmaeili, Fazekas Gabor