Simultaneous determination of view selection and update policy with stochastic query and response time constraints
Data warehouses are built to reply query searches efficiently from integrated data of various systems. To improve the performance of the system, the issue of materializing views within data warehouses must be explored. This involves to pre-compute a set ...
Supporting personalized ranking over categorical attributes
This paper studies how to enable an effective ranked retrieval over data with categorical attributes, in particular, by supporting personalized ranked retrieval of highly relevant data. While ranked retrieval has been actively studied lately, existing ...
Graph-based query rewriting for knowledge sharing between peer ontologies
Peer knowledge management systems (PKMS) offer a flexible architecture for decentralized knowledge sharing. In PKMSs, the knowledge sharing and evolution processes are based on peer ontologies. Finding an effective and efficient query rewriting ...
Joint coding and embedding techniques for multimedia images
Hiding data in digital images is a technique for secret data communication. It involves embedding important data into a cover image in digital form with minimal perceptible degradation. In this paper, we first propose an improved data hiding method for ...
Aggregation of infinite sequences
Infinitary aggregation functions acting on sequences and possessing some a priori given properties as additivity, comonotone additivity, symmetry, etc., are investigated. On the other side, we discuss infinitary aggregation functions related to given ...
Level sets and the extension principle for interval valued fuzzy sets and its application to uncertainty measures
We describe the representation of a fuzzy subset in terms of its crisp level sets. We then generalize these level sets to the case of interval valued fuzzy sets and provide for a representation of an interval valued fuzzy set in terms of crisp level ...
Neighborhood rough set based heterogeneous feature subset selection
Feature subset selection is viewed as an important preprocessing step for pattern recognition, machine learning and data mining. Most of researches are focused on dealing with homogeneous feature selection, namely, numerical or categorical features. In ...
Supremum metric on the space of fuzzy sets and common fixed point theorems for fuzzy mappings
This paper generalizes a classical result about the space of bounded closed sets with the Hausdorff metric, and establishes the completeness of CB(X) with respect to the completeness of the metric space X, where CB(X) is the class of fuzzy sets with ...
The lower and upper approximations in a hypergroup
This paper presents a relationship between rough sets and hypergroup theory. We analyze the lower and upper approximations of a subset, with respect to an invertible subhypergroup and we consider some particular situations. Moreover, the notion of a ...
Design of hybrid differential evolution and group method of data handling networks for modeling and prediction
This paper proposes a hybrid modeling approach based on two familiar non-linear methods of mathematical modeling; the group method of data handling (GMDH) and differential evolution (DE) population-based algorithm. The proposed method constructs a GMDH ...
New insights on survivability in multi-domain optical networks
With the development of intelligent optical networks and the general multi-protocol label switching (GMPLS) technique, the seamless convergence between IP network and optical network is no longer be a dream but a practical reality. Similar to the ...