The main task in decision tree construction algorithms is to find the ”best partition” of set of objects. We consider the problem of searching for optimal binary partition of continuous attribute domain for large data sets stored in relational data bases (RDB). The straightforward approach to optimal partition selection with respect to entropy measure (which evaluates the quality of a partition...

Some data mining techniques, like discretization of continuous attributes or decision tree induction, are based on searching for an optimal partition of data with respect to some optimization criteria. We investigate the problem of searching for optimal binary partition of continuous attribute domain in case of large data sets stored in relational data bases (RDB). The critical for time complex...

XSPARQL is a transformation and querying language that provides an integrated access over heterogeneous data sources on the fly. It is an extension of XQuery which supports a subset of SPARQL and SQL to provide unified access over XML, RDF and RDB formats. In practical applications, data integration does not only require the integrated access over distributed heterogeneous data sources, but als...

Traditionally, research in the area of frequent itemset mining has focused on mining market basket data. Several algorithms and techniques have been introduced in the literature for mining data represented in basket data format. The primary objective of these algorithms has been to improve the performance of the mining process. Unlike basket data representation, no algorithms exist for mining f...

With the rapid development of mobile devices and the crowdsourcing platforms, the spatial crowdsourcing has attracted much attention from the database community, specifically, spatial crowdsourcing refers to sending a location-based request to workers according to their positions. In this paper, we consider an important spatial crowdsourcing problem, namely reliable diversity-based spatial crow...

EcoLexicon is a Terminological Knowledge Base (TKB) on environment. Our TKB is primarily hosted in a relational database (RDB) but at the same time integrated in an ontological model. Ontologies provide a suitable schema for sharing semantic resources. Nevertheless, before considering the interoperability of other environmental knowledge-based projects, we must first deal with overinformation i...

We present an approach for scalable processing of SPARQL queries to RDF views of numerical data stored in relational databases (RDBs). Such queries include numerical expressions, inequalities, comparisons, etc. inside FILTERs. We call such FILTERs numerical expressions and the queries numerical SPARQL queries. For scalable execution of numerical SPARQL queries over RDBs, numerical operators sho...

A carbonaceous adsorbent (TPC) prepared from Thespusia populinia bark by acid treatment was tested for its efficiency in removing Rhodamine B (RDB). The parameters studied include agitation time, initial dye concentration, carbon dose, pH and temperature. The adsorption followed first order reaction equation and the rate is mainly controlled by intra-particle diffusion. Freundlich and Langmuir ...

Currently, several researchers have proposed mapping both structure and constraints of XML documents to an object-relational database ORDB . However, these researches cannot be conducted because of the limited range of constraints in available object-relational DBMSs. We therefore propose mapping rules that are practicable in available technologies. Normally, an XML document is treated as a dat...

A new Chemo–Dynamical Smoothed Particle Hydrodynamic (CD-SPH) code is presented. The disk galaxy is described as a multi–fragmented gas and star system, embedded in a cold dark matter halo with a rigid potential field. The star formation (SF) process, SNII, SNIa and PN events, and the chemical enrichment of gas, have all been considered within the framework of the standard SPH model, which we u...