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IADIS
2008
13 years 9 months ago
Aggregation in Confidence-Based Concept Discovery for Multi-Relational Data Mining
Multi-relational data mining has become popular due to the limitations of propositional problem definition in structured domains and the tendency of storing data in relational dat...
Yusuf Kavurucu, Pinar Senkul, Ismail Hakki Toroslu
SIGMOD
2008
ACM
144views Database» more  SIGMOD 2008»
14 years 8 months ago
Mining significant graph patterns by leap search
With ever-increasing amounts of graph data from disparate sources, there has been a strong need for exploiting significant graph patterns with user-specified objective functions. ...
Xifeng Yan, Hong Cheng, Jiawei Han, Philip S. Yu
AUSDM
2007
Springer
144views Data Mining» more  AUSDM 2007»
14 years 2 months ago
An Empirical Study of Similarity Search in Stock Data
Using certain artificial intelligence techniques, stock data mining has given encouraging results in both trend analysis and similarity search. However, representing stock data ef...
Lay-Ki Soon, Sang Ho Lee
MIDDLEWARE
2007
Springer
14 years 1 months ago
Combining ontology queries with key word search in the GloServ service discovery system
GloServ is a global service discovery system which aggregates different types of services in a globally distributed network. It improves on current service discovery systems by sc...
Knarig Arabshian, Henning Schulzrinne
MM
2009
ACM
177views Multimedia» more  MM 2009»
14 years 2 months ago
Transfer non-metric measures into metric for similarity search
Similarity search is widely used in multimedia retrieval systems to find the most similar ones for a given object. Some similarity measures, however, are not metric, leading to e...
Danzhou Liu, Kien A. Hua