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IUI
2011
ACM
14 years 5 months ago
TellMe: learning procedures from tutorial instruction
This paper describes an approach to allow end users to define new procedures through tutorial instruction. Our approach allows users to specify procedures in natural language in t...
Yolanda Gil, Varun Ratnakar, Christian Fritz
101
Voted
KDD
2004
ACM
148views Data Mining» more  KDD 2004»
16 years 2 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
CIS
2004
Springer
15 years 7 months ago
Knowledge Maintenance on Data Streams with Concept Drifting
Concept drifting in data streams often occurs unpredictably at any time. Currently many classification mining algorithms deal with this problem by using an incremental learning ap...
Juggapong Natwichai, Xue Li
CORR
2010
Springer
172views Education» more  CORR 2010»
15 years 14 days ago
Integrating User's Domain Knowledge with Association Rule Mining
This paper presents a variation of Apriori algorithm that includes the role of domain expert to guide and speed up the overall knowledge discovery task. Usually, the user is inter...
Vikram Singh, Sapna Nagpal
118
Voted
EWIMT
2004
15 years 3 months ago
Fuzzy Clustering with Pairwise Constraints for Knowledge-Driven Image Categorization
The identification of categories in image databases usually relies on clustering algorithms that only exploit the feature-based similarities between images. The addition of semant...
Nizar Grira, Michel Crucianu, Nozha Boujemaa