Sciweavers

DAWAK
1999
Springer
13 years 8 months ago
Mining Interval Time Series
Data mining can be used to extensively automate the data analysis process. Techniques for mining interval time series, however, have not been considered. Such time series are commo...
Roy Villafane, Kien A. Hua, Duc A. Tran, Basab Mau...
DAWAK
1999
Springer
13 years 8 months ago
Dynamic Data Warehouse Design
A data warehouse DW can be seen as a set of materialized views de ned over remote base relations. When a query is posed, it is evaluated locally, using the materialized views, wi...
Dimitri Theodoratos, Timos K. Sellis
DAWAK
1999
Springer
13 years 8 months ago
Heuristic Algorithms for Designing a Data Warehouse with SPJ Views
A Data Warehouse DW can be abstractly seen as a set of materialized views de ned over relations that are stored in distributed heterogeneous databases. The selection of views for...
Spyros Ligoudistianos, Timos K. Sellis, Dimitri Th...
DAWAK
1999
Springer
13 years 8 months ago
Modeling KDD Processes within the Inductive Database Framework
One of the most challenging problems in data manipulation in the future is to be able to e ciently handle very large databases but also multiple induced properties or generalizatio...
Jean-François Boulicaut, Mika Klemettinen, ...
DAWAK
1999
Springer
13 years 8 months ago
Efficient Bulk Loading of Large High-Dimensional Indexes
Efficient index construction in multidimensional data spaces is important for many knowledge discovery algorithms, because construction times typically must be amortized by perform...
Christian Böhm, Hans-Peter Kriegel
DAWAK
1999
Springer
13 years 8 months ago
Implementation of Multidimensional Index Structures for Knowledge Discovery in Relational Databases
Efficient query processing is one of the basic needs for data mining algorithms. Clustering algorithms, association rule mining algorithms and OLAP tools all rely on efficient quer...
Stefan Berchtold, Christian Böhm, Hans-Peter ...
DAWAK
1999
Springer
13 years 8 months ago
OLAP-based Scalable Profiling of Customer Behavior
Profiling customers’ behavior has become increasingly important for many applications such as fraud detection, targeted marketing and promotion. Customer behavior profiles are cr...
Qiming Chen, Umeshwar Dayal, Meichun Hsu