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IWPC
2010
IEEE
9 years 9 months ago
Using Data Fusion and Web Mining to Support Feature Location in Software
—Data fusion is the process of integrating multiple sources of information such that their combination yields better results than if the data sources are used individually. This ...
Meghan Revelle, Bogdan Dit, Denys Poshyvanyk
IS
2010
9 years 9 months ago
Tree pattern mining with tree automata constraints
Most work on pattern mining focuses on simple data structures such as itemsets and sequences of itemsets. However, a lot of recent applications dealing with complex data like chem...
Sandra de Amo, Nyara A. Silva, Ronaldo P. Silva, F...
KES
2008
Springer
9 years 9 months ago
Fast Cryptographic Privacy Preserving Association Rules Mining on Distributed Homogenous Data Base
Privacy is one of the most important properties of an information system must satisfy. In which systems the need to share information among different, not trusted entities, the pro...
Mahmoud Hussein, Ashraf El-Sisi, Nabil A. Ismail
ADMI
2010
Springer
9 years 9 months ago
Real-Time Sensory Pattern Mining for Autonomous Agents
Abstract. Autonomous agents are systems situated in dynamic environments. They pursue goals and satisfy their needs by responding to external events from the environment. In these ...
Pedro Sequeira, Cláudia Antunes
SAC
2008
ACM
9 years 10 months ago
Mining fault-tolerant frequent patterns efficiently with powerful pruning
The mining of frequent patterns in databases has been studied for several years. However, the real-world data tends to be dirty and frequent pattern mining which extracts patterns...
Jhih-Jie Zeng, Guanling Lee, Chung-Chi Lee
PVLDB
2008
107views more  PVLDB 2008»
9 years 10 months ago
Finding relevant patterns in bursty sequences
Sequence data is ubiquitous and finding frequent sequences in a large database is one of the most common problems when analyzing sequence data. Unfortunately many sources of seque...
Alexander Lachmann, Mirek Riedewald
JIIS
2007
150views more  JIIS 2007»
9 years 10 months ago
Towards a new approach for mining frequent itemsets on data stream
Mining frequent patterns on streaming data is a new challenging problem for the data mining community since data arrives sequentially in the form of continuous rapid streams. In t...
Chedy Raïssi, Pascal Poncelet, Maguelonne Tei...
VLDB
2002
ACM
123views Database» more  VLDB 2002»
9 years 10 months ago
Maintaining Data Privacy in Association Rule Mining
Data mining services require accurate input data for their results to be meaningful, but privacy concerns may influence users to provide spurious information. We investigate here,...
Shariq Rizvi, Jayant R. Haritsa
TKDE
2002
151views more  TKDE 2002»
9 years 10 months ago
Mining Sequential Patterns with Regular Expression Constraints
Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim
SIGKDD
2002
83views more  SIGKDD 2002»
9 years 10 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
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