This paper investigates the implications of example weighting in subgroup discovery by comparing three state-of-the-art subgroup discovery algorithms, APRIORI-SD, CN2-SD, and SubgroupMiner on a real-life data set. While both APRIORI-SD and CN2-SD use example weighting in the process of subgroup discovery, SubgroupMiner does not. Moreover, APRIORI-SD uses example weighting in the post-processing...

The context-tree weighting algorithm [4] is a universal source coding algorithm for binary tree sources. In [2] the algorithm is modified for byte-oriented tree sources. This paper describes the context-tree branch-weighting algorithm, which can reduce the number of parameters for such sources, without increasing the complexity significantly.

the goal in information retrieval is to enable users to automatically and accurately retrieve data relevant to their queries. One possible approach to this problem is to use the vector space model, which models documents and queries as vectors in the term space. The components of the vectors are determined by the term weighting scheme. This paper compared between a selected set from the availab...

Areal interpolation is a geospatial analysis method that allows researchers to estimate the incidence of a phenomenon in one set of areal units given data based on different areal units. One practice implemented in conjunction with areal interpolation is known as filtered area weighting, in which ancillary data is introduced to exclude specific areas from the areal units based on certain criter...