Journal of Intelligent Information Systems
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The epistemology of conceptual clustering: KBG, an implementation
Journal of Intelligent Information Systems - Tập 1 Số 1 - Trang 57-84 - 1992
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
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......
Token-Templates and Logic Programs for Intelligent Web Search
Journal of Intelligent Information Systems - Tập 14 - Trang 241-261 - 2000
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......
Levelwise Search and Pruning Strategies for First-Order Hypothesis Spaces
Journal of Intelligent Information Systems - Tập 14 - Trang 217-239 - 2000
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......
Mining top-k frequent patterns over data streams sliding window
Journal of Intelligent Information Systems - Tập 42 - Trang 111-131 - 2013
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......
Hybrid data labeling algorithm for clustering large mixed type data
Journal of Intelligent Information Systems - - 2014
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......
Data model and query evaluation in global information systems
Journal of Intelligent Information Systems - Tập 5 - Trang 121-143 - 1995
Global information systems involve a large number of information sources distributed over computer networks. The variety of information sources and disparity of interfaces makes the task of easily locating and efficiently accessing information over the network very cumbersome. We describe an architecture for global information systems that is especially tailored to address the challenges raised in......
Transfer learning by centroid pivoted mapping in noisy environment
Journal of Intelligent Information Systems - - 2012
Transfer learning is a widely investigated learning paradigm that is initially proposed to reuse informative knowledge from related domains, as supervised information in the target domain is scarce while it is sufficiently available in the multiple source domains. One of the challenging issues in transfer learning is how to handle the distribution differences between the source domains and the tar......
Optimizing Queries with Object Updates
Journal of Intelligent Information Systems - Tập 12 - Trang 219-242 - 1999
Object-oriented databases (OODBs) provide powerful data abstractions and modeling facilities but they usually lack a suitable framework for query processing and optimization. Even though there is an increasing number of recent proposals on OODB query optimization, only few of them are actually focused on query optimization in the presence of object identity and destructive updates, features often ......
Integrating web service and semantic dialogue model for user models interoperability on the web
Journal of Intelligent Information Systems - Tập 36 - Trang 131-166 - 2010
Nowadays there is a great number of Web information systems that build a model of the user and adapt their services according to the needs and preferences maintained by the user model (UM). One of the most challenging issues of this scenario is the possibility to enable different systems to cooperate in order to exchange the available information about a user. Our aim is to create rich (and scalab......
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