Download Computer and Information Science by Roger Lee (eds.) PDF

By Roger Lee (eds.)

ISBN-10: 3319105086

ISBN-13: 9783319105086

ISBN-10: 3319105094

ISBN-13: 9783319105093

This edited ebook provides clinical result of the 13th IEEE/ACIS overseas convention on laptop and data technological know-how (ICIS 2014) which used to be hung on June 4-6, 2014 in Taiyuan, China. the purpose of this convention used to be to compile researchers and scientists, businessmen and marketers, academics, engineers, computing device clients, and scholars to debate the varied fields of machine technological know-how and to proportion their studies and alternate new principles and knowledge in a significant manner. examine effects approximately all elements (theory, purposes and instruments) of computing device and knowledge technology, and to debate the sensible demanding situations encountered alongside the best way and the recommendations followed to resolve them.

The convention organizers chosen the simplest papers from these papers accredited for presentation on the convention. The papers have been selected in line with overview ratings submitted via participants of this system committee, and underwent extra rigorous rounds of evaluation. This e-book captures 14 of the conference’s so much promising papers, and we impatiently watch for the $64000 contributions that we all know those authors will deliver to the sector of computing device and knowledge science.

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Nevertheless, with the growth in the use of mobile technologies and the learning scenario database, an increasing number of teachers want to reuse their scenario in different contexts. Instead of adding to the already large number of checklists for learning scenario evaluation, we are attempting, in the following section, to address contextual evaluation based on formal modeling and verification of educational scenario. Next, the evaluation framework is discussed. 1 ReStart-Me Challenges In order to fill the gap between learning scenarios evaluation methods and ubiquitous learning scenarios, we present in this paper, a formal method to evaluate scenarios at an early stage: ReStart-Me (Re-engineering educational Scenario based on timed automata and tracks treatment for Malleable learning environment).

20(5), 849–864 (2012) 23. : Pattern Recognition with Fuzzy Objective Function Algorithms. Plenum Press, New York (1981) 24. : A possihilistic approach to clustering. IEEE Trans. Fuzzy Syst. 1, 98–110 (1993) 25. com/c/detecting-insults-in-social-commentary/prospector#169 (2013) 26. : Term-weighting approaches in automatic text retrieval. Inform. Process. Man. 24(5), 513–523 (1988). Also reprinted in Sparck Jones and Willett [1997], pp. 323–328 What Information in Software Historical Repositories Do We Need to Support Software Maintenance Tasks?

Hence, LDA is able to discover a set of ideas or themes that well describe the entire corpus. LDA is a probabilistic statistical model that estimates distributions of latent topics from textual documents [5]. It assumes that the documents have been generated using the probability distribution of the topics, and that the words in the documents were generated probabilistically in a similar way [5]. With LDA, some latent topics can be mined, allowing us to cluster them on the basis of their shared topics.

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Computer and Information Science by Roger Lee (eds.)


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