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BDA
2000
13 years 11 months ago
Incremental Mining of Sequential Patterns in Large Databases
In this paper we consider the problem of the incremental mining of sequential patterns when new transactions or new customers are added to an original database. We present a new a...
Florent Masseglia, Pascal Poncelet, Maguelonne Tei...
DAWAK
2008
Springer
13 years 12 months ago
Mining Conditional Cardinality Patterns for Data Warehouse Query Optimization
Abstract. Data mining algorithms are often embedded in more complex systems, serving as the provider of data for internal decision making within these systems. In this paper we add...
Mikolaj Morzy, Marcin Krystek
SDM
2009
SIAM
184views Data Mining» more  SDM 2009»
14 years 7 months ago
DensEst: Density Estimation for Data Mining in High Dimensional Spaces.
Subspace clustering and frequent itemset mining via “stepby-step” algorithms that search the subspace/pattern lattice in a top-down or bottom-up fashion do not scale to large ...
Emmanuel Müller, Ira Assent, Ralph Krieger, S...
ICRA
2009
IEEE
188views Robotics» more  ICRA 2009»
13 years 7 months ago
Mining GPS data for extracting significant places
This paper presents a fast and robust algorithm for extracting significant places from a set of raw GPS data points. Determining such places provides valuable context information ...
Gabriel Agamennoni, Juan Nieto, Eduardo Mario Nebo...
KDD
2003
ACM
205views Data Mining» more  KDD 2003»
14 years 10 months ago
The data mining approach to automated software testing
In today's industry, the design of software tests is mostly based on the testers' expertise, while test automation tools are limited to execution of pre-planned tests on...
Mark Last, Menahem Friedman, Abraham Kandel