2024年2月18日 · Knowledge Discovery Systems are computer systems that form the backbone of the process of producing explicit or implicit knowledge from analysis of data or from prior knowledge synthesis [1]. KDS are used in a wide variety of industries, including finance, healthcare, marketing, and manufacturing.

Knowledge discovery is an activity that produces knowledge by discovering it or deriving it from existing information. Knowledge is then organized by indexing knowledge elements, filtering based on content and establishing linkages and relationship among the elements.

Knowledge Discovery Systems support the process of developing new tacit or explicit knowledge from data and information or from the synthesis of prior knowledge. Knowledge Discovery Systems support two KM subprocesses associated with knowledge discovery: combination, enabling the discovery of new explicit knowledge.

2023年2月1日 · Knowledge discovery approaches contribute to social computing through its information processing technology and computational methods to conduct data mining to reveal hidden patterns of collective and individual behaviors and shed new light on causal discovery and theory innovation.

Results of a simple query for discoverysystem on the World Wide Web returns different types of discovery systems: from knowledge discovery systems in databases, internet‐basedknowledge discovery, service discovery systems and resource discovery systems to more specific, like for example drug discovery systems [10], gene discovery systems [43 ...

Knowledge discovery mechanisms and technologies can facilitate socialization and combination within or across organizations. Knowledge Creation Systems can be enabled by the use of data mining (DM) technologies. Technologies to discover …

Knowledge discovery refers to the overall process of discovering useful knowledge from data, while data mining refers to the extraction of patterns from data. This chapter provides a reasonably comprehensive review of knowledge discovery and its …

Knowledge Discovery refers to the process of utilizing a central index and a discovery layer to search through a library's local and remote content, including open access and licensed databases, in a unified manner.

A model of an idealized knowledge-discovery system is presented as a reference for studying and designing new systems. This model is used in the comparison of three systems: CoverStory, EXPLORA, and the Knowledge Discovery Workbench. The deficiencies of existing systems relative to the model reveal several open problems for future research.< >

1993年12月1日 · Knowledge Discovery in Databases brings together current research on the exciting problem of discovering useful and interesting knowledge in databases, which spans many different approaches to discovery, including inductive learning, bayesian statistics, semantic query optimization, knowledge acquisition for expert systems, information theory ...