|Total results: 11||
|Knowledge Management for Competitive Advantage During Economic Crisis
Patricia Ordoñez de Pablos, Luis Jovell Turró, Robert D. Tennyson, Jingyuan Zhao.
Strategy management has always been a crucial business aspect that a company must understand to remain successful in the business world. However, there are a number of different approaches that a company can employ in order to differentiate themselves from the competition.
Knowledge Management for...
Cases on Institutional Research Systems
Institutional research (IR) is a growing, applied, and interdisciplinary area that attracts people from a variety of fields, including computer programmers, statisticians, and administrators and faculty from every discipline to work in archiving, analyzing, and reporting on all aspects of higher...
Semi-Automatic Ontology Development: Processes and Resources
Maria Teresa Pazienza, Armando Stellato.
The exploitation of theoretical results in knowledge representation, language standardization by W3C and data publication initiatives such as Linked Open Data have given a level of concreteness to the field of ontology research. In light of these recent outcomes, ontology development has also found its...
Ontology Learning and Knowledge Discovery Using the Web: Challenges and Recent Advances
Wilson Wong, Wei Liu, Mohammed Bennamoun.
Ontologies form an indispensable part of the Semantic Web standard stack. While the Semantic Web is still our vision into the future, ontologies have already found a myriad of applications such as document retrieval, image retrieval, agent interoperability and document annotation. Ontology Learning and...
Mathematical Methods for Knowledge Discovery and Data Mining
Giovanni Felici, Carlo Vercellis.
The field of data mining has seen a demand in recent years for the development of ideas and results in an integrated structure. Mathematical Methods for Knowledge Discovery & Data Mining focuses on the mathematical models and methods that support most data mining applications and solution techniques...
Knowledge Discovery and Data Mining: Challenges and Realities
Xingquan Zhu, Ian Davidson.
Knowledge discovery and data mining (KDD) is dedicated to exploring meaningful information from a large volume of data. Knowledge Discovery and Data Mining: Challenges and Realities is the most comprehensive reference publication for researchers and real-world data mining practitioners to advance...
Heuristic and Optimization for Knowledge Discovery
Hussein A. Abbass, Charles S. Newton, Ruhul Sarker .
With the large amount of data stored by many organizations, capitalists have observed that this information is an intangible asset. Unfortunately, handling large databases is a very complex process and traditional learning techniques are expensive to use. Heuristic techniques provide much help in this...