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IDEAL
2003
Springer
15 years 5 months ago
Experiences of Using a Quantitative Approach for Mining Association Rules
In recent years interest has grown in “mining” large databases to extract novel and interesting information. Knowledge Discovery in Databases (KDD) has been recognised as an em...
L. Dong, Christos Tjortjis
124
Voted
ADMA
2008
Springer
152views Data Mining» more  ADMA 2008»
15 years 6 months ago
MPSQAR: Mining Quantitative Association Rules Preserving Semantics
To avoid the loss of semantic information due to the partition of quantitative values, this paper proposes a novel algorithm, called MPSQAR, to handle the quantitative association ...
Chunqiu Zeng, Jie Zuo, Chuan Li, Kaikuo Xu, Shengq...
JCP
2007
148views more  JCP 2007»
15 years 5 days ago
P3ARM-t: Privacy-Preserving Protocol for Association Rule Mining with t Collusion Resistance
— The ability to mine large volumes of distributed datasets enables more precise decision making. However, privacy concerns should be carefully addressed when mining datasets dis...
Iman Saleh, Mohamed Eltoweissy
59
Voted
CORR
2010
Springer
94views Education» more  CORR 2010»
15 years 10 days ago
Optimal Bangla Keyboard Layout using Association Rule of Data Mining
In this paper we present an optimal Bangla Keyboard Layout, which distributes the load equally on both hands so that maximizing the ease and minimizing the effort. Bangla alphabet...
Md. Hijbul Alam, Abdul Kadar Muhammad Masum, Moham...
DGO
2007
192views Education» more  DGO 2007»
15 years 1 months ago
D-HOTM: distributed higher order text mining
We present D-HOTM, a framework for Distributed Higher Order Text Mining based on named entities extracted from textual data that are stored in distributed relational databases. Unl...
William M. Pottenger