Titlebook: Recent Advances in Soft Computing and Data Mining; Proceedings of the F Rozaida Ghazali,Nazri Mohd Nawi,Nureize Arbaiy Conference proceedin

Expostulate

Nur Aliaa Dalila A. Muhaime,Muhammad Amirul Arifin,Shuhaida Ismail,Shazlyn Milleana Shaharuddin hardware architecture (processor, memory, interconnection network), system software, runtime environment, algorithms, and application design. Performance evaluation is the science of understanding these factors that contribute to the overall expression of parallel performance on real machines and o

山間窄路

Intan Syazwani Noorain,Shuhaida Ismail,Aida Nabilah Sadon,Suhaila Mohd Yasins to minimize ., while the social objective is the ., i.e. the time at which the last agent finishes her execution. We study the problem of optimizing the makespan under the constraint that the obtained schedule is a (pure) Nash equilibrium, i.e. a schedule in which no agent has incentive to unilate

努力趕上

Nur Syahira Jafri,Shuhaida Ismail,Aida Nabilah Sadon,Nur’aina A. Rahman,Shazlyn Milleana Shaharuddineliability, security at low cost. Virtualization techniques allow flexible configuration of storage systems in order to meet resource constraints and application requirements. Violin provides block level virtualization that enables the extension of storage with new mechanisms and combining them to c

CHASM

Siti Sakira Kamaruddin,Farzana Kabir Ahmad,Mohammed Ahmed Taiyeeliability, security at low cost. Virtualization techniques allow flexible configuration of storage systems in order to meet resource constraints and application requirements. Violin provides block level virtualization that enables the extension of storage with new mechanisms and combining them to c

悲觀

蒸發(fā)

Marisa Marisa,Azizul Azhar Ramli,Suhadi Suhadi,Suslistyowati Sulistyowati,Ismail Hanif Robbaniormance growth rates, general-purpose computing must be overhauled to incorporate parallel computing at all levels of a computer system – including the programming mode – all processor vendors put forward many-core roadmaps. They all expect exponential increase in the number of cores over at least a

enlist

Kung Chuang Ting,Kim Ho Yeap,Peh Chiong Teh,Koon Chun Lai,Florence Francis-Lothaiormance growth rates, general-purpose computing must be overhauled to incorporate parallel computing at all levels of a computer system – including the programming mode – all processor vendors put forward many-core roadmaps. They all expect exponential increase in the number of cores over at least a

Psychogenic

Fast Hard Clustering Based on Soft Set Multinomial Distribution Functionduced and recently the centroid-based approaches were introduced to reduce the complexities of the similarity of categorical data. However, those techniques still produce high computational times. In this paper, we proposed a clustering technique based on soft set theory for categorical data via mul

Concrete

PSS: New Parametric Based Clustering for Data Categorynamely multinomial multivariate function. The probability of the data category with binary value can be calculated by binomial distribution. Its generalization called multinomial distribution function for data category with multivariate values. Firstly, the data is represented as multi soft set wher

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