Expert input can improve clustering performance. In today’s collaborative environment, the availability of crowdsourced multiple expert input is becoming common. Given multiple experts’ inputs, most existing approaches can only discover one clustering structure. However, data is multi-faceted by nature and can be clustered in different ways (also known as views). In an exploratory analysis prob...

The emergence in 1976 of Doug Lenat's mathematical discovery program AM [Len76] [Len82a] was met with suprise and controversy; AM's performance seemed to bring the dream of super-intelligent machines to our doorstep, with amazingly simple methods to boot. However, the seeming promise of AM was not borne out: no generation of automated super-mathematicians appeared. Lenat's subsequent attempts (...

Discovery learning-based e-module in Islamic-integrated protist subject is a teaching material innovation that becomes solution to problems learning process and generated from the results of need analysis on teachers Grade 10 students. The developed important study find out validity attractiveness level product. research method employed development (R&D) with ADDIE (Analysis, Design, Develo...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers need...

decision support systems (dsss) are prevalent information systems for decision making in many competitive business environments. in a dss, decision making process is intimately related to some factors which determine the quality of information systems and their related products. traditional approaches to data analysis usually cannot be implemented in sophisticated companies, where managers nee...

ontology is a requirement engineering product and the key to knowledge discovery. it includes the terminology to describe a set of facts, assumptions, and relations with which the detailed meanings of vocabularies among communities can be determined. this is a qualitative content analysis research. this study has made use of ontology for the first time to discover the knowledge of vaccine in ir...

A Digital Microfluidic Biochip (DMFB) offers a promising platform for medical diagnostics, DNA sequencing, Polymerase Chain Reaction (PCR), and drug discovery and development. Conventional Drug discovery procedures require timely and costly manned experiments with a high degree of human errors with no guarantee of success. On the other hand, DMFB can be a great solution for miniaturization, int...

Most successful Bayesian network (BN) ap­ plications to date have been built through knowledge elicitation from experts. This is difficult and time consuming, which has lead to recent interest in automated methods for learning BNs from data. We present a case study in the construction of a BN in an intel­ ligent tutoring application, specifically dec­ imal misconceptions. We describe the BN con...

The distribution of OGC Web Catalogues (CSW) across professional communities, the expert profile of the catalogue user and also the low coverage of OGCWeb Services (OWS) in standard search engines reduce the possibility of discovery and sharing geographic information. This paper presents an approach to simple spatio-temporal search of OWS retrieved from the web by a specialized crawler. The Dig...

Inductive inference techniques that allow symbolic representation of the acquired knowledge facilitate knowledge validation, revision and understanding by human experts. EVOPROL v 1.1(EVOlutionary PROpositional Logic) is an inductive, eecient, versatile system for supervised learning of logic rules using a genetic algorithm. EVOPROL contributes to computer assisted knowledge acquisition because...