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» Modeling Problem Transformations based on Data Complexity
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KAIS
2008
150views more  KAIS 2008»
15 years 7 months ago
A survey on algorithms for mining frequent itemsets over data streams
The increasing prominence of data streams arising in a wide range of advanced applications such as fraud detection and trend learning has led to the study of online mining of freq...
James Cheng, Yiping Ke, Wilfred Ng
FLAIRS
2008
15 years 9 months ago
Using Genetic Programming to Increase Rule Quality
Rule extraction is a technique aimed at transforming highly accurate opaque models like neural networks into comprehensible models without losing accuracy. G-REX is a rule extract...
Rikard König, Ulf Johansson, Lars Niklasson
ICPP
1996
IEEE
15 years 11 months ago
Polynomial-Time Nested Loop Fusion with Full Parallelism
Data locality and synchronization overhead are two important factors that affect the performance of applications on multiprocessors. Loop fusion is an effective way for reducing s...
Edwin Hsing-Mean Sha, Chenhua Lang, Nelson L. Pass...
IADIS
2004
15 years 8 months ago
A conceptual modeling of multimedia documents
Our research works are interested in the identification and the representation of the semantic structures of multimedia documents. The semantic structure of a multimedia document ...
Mohamed Mbarki, Chantal Soulé-Dupuy
KDD
2003
ACM
266views Data Mining» more  KDD 2003»
16 years 7 months ago
Applying data mining in investigating money laundering crimes
In this paper, we study the problem of applying data mining to facilitate the investigation of money laundering crimes (MLCs). We have identified a new paradigm of problems --- th...
Zhongfei (Mark) Zhang, John J. Salerno, Philip S. ...