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ICSE
2010
IEEE-ACM
9 years 8 months ago
Identifying crosscutting concerns using historical code changes
Detailed knowledge about implemented concerns in the source code is crucial for the cost-effective maintenance and successful evolution of large systems. Concern mining techniques...
Bram Adams, Zhen Ming Jiang, Ahmed E. Hassan
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
9 years 8 months ago
Discovering Temporal Features and Relations of Activity Patterns
An important problem that arises during the data mining process in many new emerging application domains is mining data with temporal dependencies. One such application domain is a...
Ehsan Nazerfard, Parisa Rashidi, Diane J. Cook
ICDM
2010
IEEE
217views Data Mining» more  ICDM 2010»
9 years 8 months ago
iSAX 2.0: Indexing and Mining One Billion Time Series
There is an increasingly pressing need, by several applications in diverse domains, for developing techniques able to index and mine very large collections of time series. Examples...
Alessandro Camerra, Themis Palpanas, Jin Shieh, Ea...
ICDM
2010
IEEE
201views Data Mining» more  ICDM 2010»
9 years 8 months ago
Mining Closed Strict Episodes
Discovering patterns in a sequence is an important aspect of data mining. One popular choice of such patterns are episodes, patterns in sequential data describing events that often...
Nikolaj Tatti, Boris Cule
GRC
2010
IEEE
9 years 8 months ago
Genetic-Fuzzy Data Mining Techniques
This paper surveys some genetic-fuzzy data mining techniques for mining both membership functions and fuzzy association rules. The motivation from crisp mining to fuzzy mining wil...
Tzung-Pei Hong, Chun-Hao Chen, Vincent S. Tseng
EDBTW
2010
Springer
9 years 8 months ago
A decision support system to improve e-learning environments
Nowadays, due to the lack of face-to-face contact, distance course instructors have real difficulties knowing who their students are, how their students behave in the virtual cour...
Marta E. Zorrilla, Diego García, Elena &Aac...
ACMSE
2010
ACM
9 years 8 months ago
Mining relaxed closed subspace clusters
This paper defines and discusses a new problem in the area of subspace clustering. It defines the problem of mining closed subspace clusters. This new concept allows for the culli...
Erich Allen Peterson, Peiyi Tang
PVLDB
2010
135views more  PVLDB 2010»
9 years 9 months ago
Similarity Search and Mining in Uncertain Databases
Managing, searching and mining uncertain data has achieved much attention in the database community recently due to new sensor technologies and new ways of collecting data. There ...
Matthias Renz, Reynold Cheng, Hans-Peter Kriegel, ...
ML
2010
ACM
210views Machine Learning» more  ML 2010»
9 years 9 months ago
Mining frequent closed rooted trees
Many knowledge representation mechanisms are based on tree-like structures, thus symbolizing the fact that certain pieces of information are related in one sense or another. There ...
José L. Balcázar, Albert Bifet, Anto...
MDAI
2010
Springer
9 years 9 months ago
Pattern Mining on Stars with FP-Growth
Abstract. Most existing data mining (DM) approaches look for patterns in a single table. Multi-relational DM approaches, on the other hand, look for patterns that involve multiple ...
Andreia Silva, Cláudia Antunes
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