Sciweavers

DGO
2003
137views Education» more  DGO 2003»
13 years 6 months ago
Time-Series Data Mining in a Geospatial Decision Support
This paper presents an overview of the motivation for, and the use of time-series data mining in, a Geospatial Decision Support System (GDSS). Our approach is based on a combinati...
Dan Li, Sherri K. Harms, Steve Goddard, William J....
EDM
2010
145views Data Mining» more  EDM 2010»
13 years 6 months ago
Mining Rare Association Rules from e-Learning Data
Rare association rules are those that only appear infrequently even though they are highly associated with very specific data. In consequence, these rules can be very appropriate f...
Cristóbal Romero, José Raúl R...
CLA
2007
13 years 6 months ago
ZART: A Multifunctional Itemset Mining Algorithm
Abstract. In this paper, we present and detail a multifunctional itemset mining algorithm called Zart, which is based on the Pascal algorithm. Zart shows a number of additional fea...
Laszlo Szathmary, Amedeo Napoli, Sergei O. Kuznets...
DAWAK
2005
Springer
13 years 6 months ago
Incremental Data Mining Using Concurrent Online Refresh of Materialized Data Mining Views
Abstract. Data mining is an iterative process. Users issue series of similar data mining queries, in each consecutive run slightly modifying either the definition of the mined dat...
Mikolaj Morzy, Tadeusz Morzy, Marek Wojciechowski,...
KDD
1997
ACM
111views Data Mining» more  KDD 1997»
13 years 8 months ago
SIPping from the Data Firehose
When mining large databases, the data extraction problem and the interface between the database and data mining algorithm become important issues. Rather than giving a mining algo...
George H. John, Brian Lent
KDD
1998
ACM
105views Data Mining» more  KDD 1998»
13 years 8 months ago
PlanMine: Sequence Mining for Plan Failures
This paper presents the PLANMINE sequence mining algorithm to extract patterns of events that predict failures in databases of plan executions. New techniques were needed because ...
Mohammed Javeed Zaki, Neal Lesh, Mitsunori Ogihara
ICDM
2002
IEEE
132views Data Mining» more  ICDM 2002»
13 years 9 months ago
Speed-up Iterative Frequent Itemset Mining with Constraint Changes
Mining of frequent itemsets is a fundamental data mining task. Past research has proposed many efficient algorithms for the purpose. Recent work also highlighted the importance of...
Gao Cong, Bing Liu