4,301 research outputs found

    Peculiarity Oriented Mining in Multiple Databases

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    Multi-database mining has been these days diagnosed as a significant, and finding useful and novel facts, that are noticeably supported with the resource of most of databases. As a way to find out new, unexpected, thrilling styles hidden in information, peculiarity orientated mining and multi database mining are required.Multi-database mining is the technique of analyzing the data in multi databases

    An Improved Corpus Comparison Approach to Domain Specific Term Recognition

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    PACLIC / The University of the Philippines Visayas Cebu College Cebu City, Philippines / November 20-22, 200

    Measuring Interestingness – Perspectives on Anomaly Detection

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    We live in a data deluge. Our ability to gather, distribute, and store information has grown immensely over the past two decades. With this overabundance of data, the core knowledge discovery problem is no longer in the gathering of this data, but rather in the retrieving of relevant data efficiently. While the most common approach is to use rule interestingness to filter results of the association rule generation process, study of literature suggests that interestingness is difficult to define quantitatively and is best summarized as, β€œa record or pattern is interesting if it suggests a change in an established model.” In this paper we elaborate on the term interestingness, and the surrounding taxonomy of interestingness measures, anomalies, novelty and surprisingness. We review and summarize the current state of literature surrounding interestingness and associated approaches. Keywords: Interestingness, anomaly detection, rare-class mining, Interestingness measures, outliers, surprisingness, novelt

    MOCURIS - Modern Curriculum in Information Systems at Master Level

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    A lot of curricula in information systems, also at master level, exists today. However, the strong need in new approaches and new curricula still exists, especially, in European area. The paper discusses the modern curriculum in information systems at master level that is currently under development in the Socrates/Erasmus project MOCURIS. The curriculum is oriented to the students of engineering schools of technical universities. The proposed approach takes into account integration trends in European area as well as the transformation of industrial economics into knowledge-based digital economics The paper presents main characteristics of the proposed curriculum, discuses curriculum development techniques used in the project MOCURIS, describes the architecture of the proposed curriculum and the body of knowledge provided by it
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