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» Pitfalls in Aspect Mining
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KES
2004
Springer
14 years 1 months ago
FIT: A Fast Algorithm for Discovering Frequent Itemsets in Large Databases
Association rule mining is an important data mining problem that has been studied extensively. In this paper, a simple but Fast algorithm for Intersecting attribute lists using a ...
Jun Luo, Sanguthevar Rajasekaran
ICDM
2003
IEEE
115views Data Mining» more  ICDM 2003»
14 years 28 days ago
On Precision and Recall of Multi-Attribute Data Extraction from Semistructured Sources
Machine learning techniques for data extraction from semistructured sources exhibit different precision and recall characteristics. However to date the formal relationship between...
Guizhen Yang, Saikat Mukherjee, I. V. Ramakrishnan
KDD
1998
ACM
112views Data Mining» more  KDD 1998»
13 years 12 months ago
Evaluating Usefulness for Dynamic Classification
This paper develops the concept of usefulness in the context of supervised learning. We argue that usefulness can be used to improve the performance of classification rules (as me...
Gholamreza Nakhaeizadeh, Charles Taylor, Carsten L...
CINQ
2004
Springer
133views Database» more  CINQ 2004»
13 years 11 months ago
Inductive Querying for Discovering Subgroups and Clusters
We introduce the problem of cluster-grouping and show that it integrates several important data mining tasks, i.e. subgroup discovery, mining correlated patterns and aspects from c...
Albrecht Zimmermann, Luc De Raedt
AUSDM
2006
Springer
139views Data Mining» more  AUSDM 2006»
13 years 11 months ago
Integrated Scoring For Spelling Error Correction, Abbreviation Expansion and Case Restoration in Dirty Text
An increasing number of language and speech applications are gearing towards the use of texts from online sources as input. Despite such rise, not much work can be found in the as...
Wilson Wong, Wei Liu, Mohammed Bennamoun