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LWA
2007
15 years 8 months ago
Multi-objective Frequent Termset Clustering
Large, high dimensional data spaces, are still a challenge for current data clustering methods. Frequent Termset (FTS) clustering is a technique developed to cope with these chall...
Andreas Kaspari, Michael Wurst
IADIS
2004
15 years 8 months ago
From XML Schema to Object-Relational Database - An XML Schema-Driven Mapping Algorithm
Since XML becomes a crucial format for representing information, it is necessary to establish techniques for managing XML documents. A possible solution can be found in storing XM...
Irena Mlynkova, Jaroslav Pokorný
NIPS
2004
15 years 7 months ago
Co-Training and Expansion: Towards Bridging Theory and Practice
Co-training is a method for combining labeled and unlabeled data when examples can be thought of as containing two distinct sets of features. It has had a number of practical succ...
Maria-Florina Balcan, Avrim Blum, Ke Yang
IIS
2003
15 years 7 months ago
The Development of the Inductive Database System VINLEN: A Review of Current Research
Current research on the VINLEN inductive database system is briefly reviewed and illustrated by selected results. The goal of research on VINLEN is to develop a methodology for de...
Kenneth A. Kaufman, Ryszard S. Michalski
ALENEX
2009
191views Algorithms» more  ALENEX 2009»
15 years 7 months ago
Theory and Practise of Monotone Minimal Perfect Hashing
Minimal perfect hash functions have been shown to be useful to compress data in several data management tasks. In particular, order-preserving minimal perfect hash functions [10] ...
Djamal Belazzougui, Paolo Boldi, Rasmus Pagh, Seba...