Titlebook: Intelligent Information Processing and Web Mining; Proceedings of the I Mieczys?aw A. K?opotek,S?awomir T. Wierzchoń,Krzys Conference proce

grieve

anaerobic

Automatic Knowledge Retrieval from the Webmeasurements with the concepts found in the manually created knowledge database. The results demonstrate that the system can retrieve valid knowledge concepts both for topics that are described in the manually created database, as well as the ones that are not covered there.

intellect

Efficient Processing of Frequent Itemset Queries Using a Collection of Materialized Viewsissue of reusing results of one of the previous frequent itemset queries to efficiently answer the new query. In this paper we present a new approach to frequent itemset query processing in which a collection of materialized views can be used for that purpose.

MOTIF

fixed-joint

Rule Induction for Click-Stream Analysis: Set Covering and Compositional Approachorithm utilizes the approach of rule specialization like the well known CN2 algorithm, the compositional algorithm is based on our original KEX algorithm, however both algorithms deal with sequences of events (visited pages) instead of sets of attributevalue pairs. The learned rules can be used to p

鋼盔

Family of Instance Reduction Algorithms Versus Other Approaches of instance reduction algorithms proposed by the authors. To evaluate their performance the computational experiment is carried out. The experiment involves comparing a performance of IRA with several other approaches using alternative machine learning classification tools.

流浪者

預(yù)示

Concept Description Vectors and the 20 Question Gamers provide simplest representation of this knowledge, storing for each object information about the values of its properties. Experiments with automatic creation of concept description vectors from various sources, including ontologies, dictionaries, encyclopedias and unstructured text sources, are

Inclement

Automatic Scripts Retrieval and Its Possibilities for Social Sciences Support Applications interesting for Social Sciences researchers. We describe the first module of our system, which is supposed to automatically retrieve commonsensical knowledge from the Web resources by using web-mining techniques. It retrieves minimal “object — action — action” scripts which show humans’ common acti

SOBER