Information Sciences: an International Journal

A new multi-objectivization approach is proposed.The approach defines a helper objective using the primary objective and penalties.The approach shows significant performance on the Traveling Salesman Problem.The approach performs effectively on the ...

Symbolic Regression tries to find a mathematical expression that describes the relationship of a set of explanatory variables to a measured variable. The main objective is to find a model that minimizes the error and, optionally, that also minimizes the ...

This system supports expressive search query patterns: single/conjunctive keyword queries, equality, multi-dimensional range queries, subset queries and Boolean queries.Keyword weight and preference score are set for the keyword index and query trapdoor,...

Inspired by the natural phenomenon that honey bees follow the elite group in the foraging process, we propose a novel artificial bee colony algorithm named ECABC based on elite group guidance and the combined breadth-depth search strategy in this paper. ...

In this work we use the granular computing paradigm to study specific types of families of subsets, operators and families of ordered pairs of sets of attributes which are naturally induced by information tables. In an unifying perspective, by means of ...

The word sense disambiguation (WSD) task aims at identifying the meaning of words in a given context for specific words conveying multiple meanings. This task plays a prominent role in a myriad of real world applications, such as machine translation, ...

This paper discusses transmission power scheduling and control co-design in wireless sensor networks (WSNs) under communication energy constraints, in which the dynamics of all mobile sensor nodes (MSNs) are assumed to be nonlinear. A most regular code ...

Environmentally friendly reliability-based product optimisation combining DANP, interval uncertainty and VIKOR is proposed.The proposed method conducts sufficient technical consideration of product environmental features.The organic combination of DANP ...

Users want to know the reliability of the recommendations; they do not accept high predictions if there is no reliability evidence. Recommender systems should provide reliability values associated with the predictions. Research into reliability measures ...

Key exposure problem is a very serious problem for identity-based signatures. Once the secret key is exposed in identity-based signatures, all signatures generated from this secret key will become insecure. To mitigate this serious damage, the intrusion-...

Despite their superior accuracy, existing floating-point feature descriptor based image matching algorithms are too computationally intensive for real world aerial imaging applications, where target images are often of extremely high resolutions. To ...

Time series segmentation is aimed at representing a time series by using a set of segments. Some researchers perform segmentation by approximating each segment with a simple model (e.g. a linear interpolation), while others focus their efforts on ...

Formal concepts and closed itemsets proved to be of big importance for knowledge discovery, both as a tool for concise representation of association rules and a tool for clustering and constructing domain taxonomies and ontologies. Exponential explosion ...

Efficient implementation of computationally expensive Fishers Exact Test.Three new concept drift detection methods based on Fishers Exact Test.Tested against DDM, ECDD, SEED, FHDDM, and STEPD using two base classifiers.Proposed methods are significantly ...