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157
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DEXA
2004
Springer
190views Database» more  DEXA 2004»
15 years 9 months ago
On Efficient and Effective Association Rule Mining from XML Data
: In this paper, we propose a framework, called XAR-Miner, for mining ARs from XML documents efficiently and effectively. In XAR-Miner, raw XML data are first transformed to either...
Ji Zhang, Tok Wang Ling, Robert M. Bruckner, A. Mi...
120
Voted
VLDB
1998
ACM
103views Database» more  VLDB 1998»
15 years 7 months ago
The Drill Down Benchmark
Data Mining places specific requirements on DBMS query performance that cannot be evaluated satisfactorily using existing OLAP benchmarks. The DD Benchmark - defined here - provid...
Peter A. Boncz, Tim Rühl, Fred Kwakkel
138
Voted
ACMSE
2008
ACM
15 years 5 months ago
Mining frequent sequential patterns with first-occurrence forests
In this paper, a new pattern-growth algorithm is presented to mine frequent sequential patterns using First-Occurrence Forests (FOF). This algorithm uses a simple list of pointers...
Erich Allen Peterson, Peiyi Tang
ECAI
2004
Springer
15 years 9 months ago
Inference Attacks in Peer-to-Peer Homogeneous Distributed Data Mining
Spontaneous formation of peer-to-peer agent-based data mining systems seems a plausible scenario in years to come. However, the emergence of peer-to-peer environments further exace...
Josenildo Costa da Silva, Matthias Klusch, Stefano...
123
Voted
ADMA
2006
Springer
137views Data Mining» more  ADMA 2006»
15 years 7 months ago
SA-IFIM: Incrementally Mining Frequent Itemsets in Update Distorted Databases
Abstract. The issue of maintaining privacy in frequent itemset mining has attracted considerable attentions. In most of those works, only distorted data are available which may bri...
Jinlong Wang, Congfu Xu, Hongwei Dan, Yunhe Pan