Titlebook: Knowledge Technology; Third Knowledge Tech Dickson Lukose,Abdul Rahim Ahmad,Azizah Suliman Conference proceedings 2012 Springer-Verlag Berl

解毒藥

書目名稱Knowledge Technology影響因子(影響力)




書目名稱Knowledge Technology影響因子(影響力)學(xué)科排名




書目名稱Knowledge Technology網(wǎng)絡(luò)公開度




書目名稱Knowledge Technology網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Knowledge Technology被引頻次




書目名稱Knowledge Technology被引頻次學(xué)科排名




書目名稱Knowledge Technology年度引用




書目名稱Knowledge Technology年度引用學(xué)科排名




書目名稱Knowledge Technology讀者反饋




書目名稱Knowledge Technology讀者反饋學(xué)科排名

外露

Affectation

E-Learning Based on Metadata, Ontologies and Competence-Based Knowledge Space Theoryvations forces future education to fulfill the need of empowering people of all societal, cultural, and age groups the acquire competences and skills in real-time for demands and tasks we cannot even imagine at the moment. To realize that, we do need smart novel educational technologies that can sup

Gastric

Linked Library Data: Offering a Backbone for the Semantic Webwever, coverage and quality of the datasets are seen as issues, since many of them are the outcome of time-limited academic projects and are not curated on a regular basis. Yet, in the domain of cultural heritage institutions, large and high quality datasets have been built over decades, not only ab

花束

heirloom

Identifying Metabolic Pathway within Microarray Gene Expression Data Using Combination of Probabilissearch. Previous methods have successfully identified those pathways but without concerning the genetic effect and relationship of the genes, the underlying structure is not precisely represented and cannot be justified to be significant biologically. In this article, probabilistic models capable of

Barrister

A Transparent Fuzzy Rule-Based Clinical Decision Support System for Heart Disease Diagnosis(CDSS), however, that provides accurate and understandable decisions would effectively help the physician in making an early and appropriate diagnosis. In this study, a CDSS for HD diagnosis is proposed based on a genetic-fuzzy approach that considers both the transparency and accuracy of the system

AIL

Knowledge Modeling for Personalized Travel Recommender traveler has to spend a lot of time to filter or digest the information before a sensible travel plan can be prepared.? A traveler normally needs more than one piece of travel information to decide on destinations to visit and a collection of such information is normally extracted from several info

intelligible

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