Journal of Intelligent Information Systems

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Describing and deriving certain answers over partial databases
Journal of Intelligent Information Systems - - 2010
Michael Minock
AL-log: Integrating Datalog and Description Logics
Journal of Intelligent Information Systems - Tập 10 - Trang 227-252 - 1998
Francesco M. Donini, Maurizio Lenzerini, Daniele Nardi, Andrea Schaerf
We present an integrated system for knowledge representation, calledAL -log, based on description logics and the deductive database language Datalog. AL-log embodies two subsystems, called structural and relational. The former allows for the definition of structural knowledge about classes of interest (concepts) and membership relation between objects and classes. The latter allows for the definit... hiện toàn bộ
The epistemology of conceptual clustering: KBG, an implementation
Journal of Intelligent Information Systems - Tập 1 Số 1 - Trang 57-84 - 1992
Yves Kodratoff, Gilles Bisson
An enhanced Web page change detection approach based on limiting similarity computations to elements of same type
Journal of Intelligent Information Systems - Tập 32 - Trang 1-21 - 2007
Hassan Artail, Michel Abi-Aad
This paper describes an efficient Web page detection approach based on restricting the similarity computations between two versions of a given Web page to the nodes with the same HTML tag type. Before performing the similarity computations, the HTML Web page is transformed into an XML-like structure in which a node corresponds to an open-closed HTML tag. Analytical expressions and supporting exper... hiện toàn bộ
A grid density based framework for classifying streaming data in the presence of concept drift
Journal of Intelligent Information Systems - Tập 46 - Trang 179-211 - 2015
Tegjyot Singh Sethi, Mehmed Kantardzic, Hanquing Hu
Mining data streams is the process of extracting information from non-stopping, rapidly flowing data records to provide knowledge that is reliable and timely. Streaming data algorithms need to be one pass and operate under strict limitations of memory and response time. In addition, the classification of streaming data requires learning in an environment where the data characteristics might change... hiện toàn bộ
Token-Templates and Logic Programs for Intelligent Web Search
Journal of Intelligent Information Systems - Tập 14 - Trang 241-261 - 2000
Bernd Thomas
We present a general framework for the information extraction from web pages based on a special wrapper language, called token-templates. By using token-templates in conjunction with logic programs we are able to reason about web page contents, search and collect facts and derive new facts from various web pages. We give a formal definition for the semantics of logic programs extended by token-tem... hiện toàn bộ
Levelwise Search and Pruning Strategies for First-Order Hypothesis Spaces
Journal of Intelligent Information Systems - Tập 14 - Trang 217-239 - 2000
Irene Weber
The discovery of interesting patterns in relational databases is an important data mining task. This paper is concerned with the development of a search algorithm for first-order hypothesis spaces adopting an important pruning technique (termed subset pruning here) from association rule mining in a first-order setting. The basic search algorithm is extended by so-called requires and excludes const... hiện toàn bộ
Mining top-k frequent patterns over data streams sliding window
Journal of Intelligent Information Systems - Tập 42 - Trang 111-131 - 2013
Hui Chen
Frequent pattern mining in data streams is an important research topic in the data mining community. In previous studies, a minimum support threshold was assumed to be available for mining frequent patterns. However, setting such a threshold is typically difficult. Hence, it is more reasonable to ask users to set a bound on the result size. The present study considers mining top-k frequent pattern... hiện toàn bộ
Guest editors’ introduction: special issue on case-based reasoning
Journal of Intelligent Information Systems - - 2016
David Leake, Barry Smyth, Rosina O. Weber
Hybrid data labeling algorithm for clustering large mixed type data
Journal of Intelligent Information Systems - - 2014
Ravi Sankar Sangam, Hari Om
Due to enormous growth in both volume and variety of data, clustering a very large database is a time-consuming process. To speed up clustering process, sampling has been recognized as a very utilitarian approach to reduce the dataset size in which a collection of data points are taken as a sample and then a clustering algorithm is applied to partitioning the data points in that sample into cluste... hiện toàn bộ
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