We propose a new framework of explanation-oriented data mining by adding an explanation construction and evaluation phase to the data mining process. While traditional approaches c...
Metric access methods (MAMs), such as the M-tree, are powerful index structures for supporting ty queries on metric spaces, which represent a common abstraction for those searchin...
In this abstract, we present a rule-based modelling language for constraint programming, called Rules2CP [1], and a library PKML for modelling packing problems. Unlike other modell...
In high-performance computer systems, performance losses due to conditional branch instructions can be minimized by predicting a branch outcome and fetching, decoding, and/or issu...
The tool extract enables the automatic extraction of lemma-paradigm pairs from raw text data. The tool uses search patterns that consist of regular expressions and propositional lo...