In scientific and engineering scenarios we can notice the predominance of explicit knowledge being manipulated and distributed, which makes recommender systems very useful in this environment. But along with a knowled...
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ISBN:
(纸本)1424409624
In scientific and engineering scenarios we can notice the predominance of explicit knowledge being manipulated and distributed, which makes recommender systems very useful in this environment. But along with a knowledge management approach this kind of system can support the organization in better identifying competences, help engage users in a continuous and dynamic knowledge exchange, and customize knowledge dissemination as much as possible. In this work we detail a collaborative recommender system which is used in a Knowledge Management Environment for Scientific and engineering contexts; we show how this approach can be aimed at a KM process and how this approach can deal with other kinds of knowledge used in research centers and universities.
Customer relationship management -CRM -is a broad term that can cover every mode of customer interaction. This concept has been widely used in business language, enabling companies to gain more knowledge about their c...
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ISBN:
(纸本)1424409624
Customer relationship management -CRM -is a broad term that can cover every mode of customer interaction. This concept has been widely used in business language, enabling companies to gain more knowledge about their customers which, in its turn, can be used to improve marketing and sales targeting, improving their results. University and research institutions (URIs), as any other organizations, also need to cater to the needs of their clients, which may be: society in general, their students, researchers and collaborators; other institutions -of a research or commercial nature with which they interact (supplying data, results from research work, consultancy work, and the execution of partnerships) -or governments that make use of their teaching practices and results from their research work. So, this work is a CRM proposal for URIs, studying the differences between the academic/scientific and business world and proposing an environment to manage all kinds of relationships in the academic and scientific scenario.
Regression Error Characteristic (REC) analysis is a technique for evaluation and comparison of regression models that facilitates the visualization of the performance of many regression functions simultaneously in a s...
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RISE is a well-known multi-strategy learning algorithm that combines rule induction and instance-based learning. It achieves higher accuracy than some state-of-the-art learning algorithms, but for large data sets it h...
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