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» Scalable Data Mining with Model Constraints
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KDD
2005
ACM
92views Data Mining» more  KDD 2005»
14 years 8 months ago
Summarizing itemset patterns: a profile-based approach
Frequent-pattern mining has been studied extensively on scalable methods for mining various kinds of patterns including itemsets, sequences, and graphs. However, the bottleneck of...
Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin
AUSAI
2005
Springer
14 years 1 months ago
K-Optimal Pattern Discovery: An Efficient and Effective Approach to Exploratory Data Mining
Most data-mining techniques seek a single model that optimizes an objective function with respect to the data. In many real-world applications several models will equally optimize...
Geoffrey I. Webb
JUCS
2007
118views more  JUCS 2007»
13 years 7 months ago
A Model of Immune Gene Expression Programming for Rule Mining
: Rule mining is an important issue in data mining. To address it, a novel Immune Gene Expression Programming (IGEP) model was proposed. Concepts of rule, gene, immune cell, and an...
Tao Zeng, Changjie Tang, Yong Xiang, Peng Chen, Yi...
ILP
2007
Springer
14 years 1 months ago
Applying Inductive Logic Programming to Process Mining
The management of business processes has recently received a lot of attention. One of the most interesting problems is the description of a process model in a language that allows ...
Evelina Lamma, Paola Mello, Fabrizio Riguzzi, Serg...
ICDE
2012
IEEE
277views Database» more  ICDE 2012»
11 years 10 months ago
Aggregate Query Answering on Possibilistic Data with Cardinality Constraints
— Uncertainties in data arise for a number of reasons: when the data set is incomplete, contains conflicting information or has been deliberately perturbed or coarsened to remov...
Graham Cormode, Divesh Srivastava, Entong Shen, Ti...