Knowledge Management and Discovery
Meta Knowledge Management in MultiStrategy Process Oriented Knowledge Discovery Systems
... Meta-learning or “learning to learn” (also known as bias learning) is the effort to automatically induce dependencies between learning tasks and appropriate learning strategies. The meta-learning paradigm is based on the ...
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Cloudysme: An Ontological Framework for Aiding SMEs Adoption of SaaS in a Cloud Environment
... DOI: 10.4236/jcc.2017.514008 89 Journal of Computer and Communications phases. The first phase comprises of information gathering of advertised cloud service catalogue by service providers. This shows the characteristics ...
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Knowledge Mining and Discovery for Searching in Literary Texts
... of knowledge regarding both the structure of the text and the general context in which it has been ...in knowledge management and knowledge discovery to be applied to a rich ...
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Data Mining Techniques: A Tool For Knowledge Management System In Agriculture
... 3) Association analysis: Association analysis is the discovery of what are commonly called association rules. It studies the frequency of items occurring together in transactional databases, and based on a ...
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Intelligent Quality Management Expert System Using PA-AKD in large Databases
... Quality Management expert system and discuss how this approach can be applied to support decision making process in various domains in an ...Quality Management Expert ...Quality Management Expert ...
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Functions, Processes, Stages And Application Of Data Mining
... and knowledge because it is in accordance with the focus of this field of extracting or mining knowledge from data of large size/amount, this information will be very useful for ...operations). ...
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A STUDY ON DATA MINING INVESTIGATING ITS METHODS, APPROACHES AND APPLICATIONS
... o So many companies have deployed successful applications of data mining. The use of technology is applicable to any company looking to leverage a large data warehouse to better manage their customer relationships. ...
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Research on the Impact of Mobile Social Networking Media on the Development of Library Industry
... the knowledge content of the library can, through reorganization and discovery of library knowledge, become the knowledge content that users can quickly search and obtain through social media, ...
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DATA MINING MADE SIMPLE BY APRIORI ALGORITHM FOR MARKET ANALYSIS
... Knowledge discovery is an emerging field which combines the techniques from mathematics, statistics, algorithms and Artificial Intelligence to extract the ...of Knowledge Discovery in ...
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Knowledge, Awareness and Management of Halitosis among Dental Students
... Halitosis was prevalent among dental students. Their responsibilities to diagnosis and improves oral hygiene. They may benefit by an awareness of the problem and encouragement to improve their own oral hygiene. The ...
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The moderating role of gamification in the relationship between knowledge management and performance
... leveraging knowledge, usually achieve increased efficiencies in operations, increased levels of customer service, higher rates of successful ...managing knowledge, SMEs should pay closeattention to ...
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A novel approach for grid resource management based on fuzzy logic and semantic Technology
... resource management approach must guarantee the QoS and balance the load among grid nodes which are frequently highly dynamic and ...resource discovery and resource ...
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Knowledge Discovery for Scalable Data Mining
... application knowledge semantics from user knowledge and domain information of what are the patterns users most likely to purchase?” is the theme of the proposed ...
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Data Mining and Knowledge Discovery in Database
... In this paper, we have discussed detail study of data mining with various studies like tasks, techniques, applications and challenging issues. A primary aim is to clarify the relation between knowledge ...
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CURRENT TRENDS OF COMMUNICATION SYSTEMS IN MEDICAL MONITORING SERVICES: THE CASE OF WSNS OPERATING SYSTEM DESIGN
... of knowledge and data are not yet being fully utilized, managed and shared among the organizational members [10], with the additional issue of cultural and soul added [11] these scenario leads to the deliberation ...
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Knowledge discovery through creating formal contexts
... Abstract—Knowledge discovery is important for systems that have computational intelligence in helping them learn and adapt to changing ...discover knowledge through an emerging data technology called ...
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KNOWLEDGE MANAGEMENT ‘New Dimensions of Knowledge Management’
... Today, there are many frameworks for knowledge management around. They all have in common their intention to cover the complete life cycle of knowledge within the organization. Typically, the ...
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A method for knowledge discovery and development with health data
... their knowledge was exactly correct or agreed upon by other ...the knowledge was incorrect in some way it was expected to be caught by the in-built validation process, either as the rule was entered, or ...
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Knowledge discovery through creating formal contexts
... Abstract. Knowledge discovery is important for systems that have com- putational intelligence in helping them learn and adapt to changing en- ...discover knowledge through an emerging data technology ...
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II. KDTICM (KNOWLEDGE DISCOVERY THEORY BASED ON
... Act as a subject, data mining lack of uniform theory for its basic, this situation restrict the development of data mining for long-term. Jumping out from the mainstream development of KDD in 1997, we originally brought ...
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