By Khalid Saeed, Václav Snášel (eds.)

This e-book constitutes the court cases of the thirteenth IFIP TC eight overseas convention on desktop details structures and business administration, CISIM 2014, held in Ho Chi Minh urban, Vietnam, in November 2014. The 60 paper provided during this quantity have been conscientiously reviewed and chosen from ninety eight submissions. they're prepared in topical sections named: algorithms; biometrics and biometrics functions; info research and data retrieval; business administration and different purposes; modelling and optimization; networking; trend popularity and snapshot processing; and numerous points of desktop security.

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In: Proceedings of the 21st ACM Annual Symposium on Parallelism in Algorithms and Architectures (SPAA), pp. 204–213 (2009) 14. : The power of DCAS: highly-concurrent software transactional memory. In: Proceedings of the Twenty-sixth Annual ACM Symposium on Principles of Distributed Computing. ACM (2007) 15. : Advanced contention management for dynamic software transactional memory. In: PODC ’05: Proceedings of the Twenty-Fourth Annual ACM Symposium on Principles of Distributed Computing, NY, USA, pp.

We have categorized the active Write transactions in terms of their total timee of execution as maturity_leveel = LO and maturity_level = HI. Reverse ratio has bbeen assumed while defining twmax m because experimental results reveal that the numberr of committed write transactio ons which execute for less than ‘tµ w’ time is consideraably greater than #Tw/2. g. ). e. they do not share any common object, each will commit on reachiing its try_commit point without bothering the others. T This, however is a trivial case and d is very unlikely to happen in practical systems.

The average utility (au) measure was proposed by Hong in [3] where the author considered the length of itemset. However, due to the lack of “downward closure property”, the cost of candidate generation for mining high utility itemsets is intolerable in terms of time and memory space. An itemset which is not a HAUI can combine with one or more other items to become HAUI. Therefore, the number of generated candidates is very large, which leads to a challenge for researchers. The solution of this problem is to reduce the number of candidates and the time for generating them.

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