Theoretical Model of Software Process Improvement for CMM and CMMI based on QFD Study of Verification of the Reputation Scaling Module of Trust Management System Yonghui Cao Design of a Pneumatic Robotic Arm for Solar Cell Tester System By using PLC contr

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88. Theoretical Model of Software Process Improvement for CMM and CMMI based on QFD

Yonghui Cao 614-620 89. The Perceptual and Statistics Characteristic of Spatial Cues and its application Heng Wang, Ruimin Hu, Weiping Tu and Cong Zhang 621-626 90. The Analysis of Vibration Characteristics and Motion Stability of the Tracked Ambulance Nonlinear Damping System Meng Yang, Xinxi Xu and Chen Su 627-634

91. Study of Verification of the Reputation Scaling Module of Trust Management System Yonghui Cao

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95. Design of a Pneumatic Robotic Arm for Solar Cell Tester System By using PLC controller

Yousif I. Al Mashhadany and Nasrudin Abd Rahim 658-663 96. The study on the spam filtering technology based on Bayesian algorithm Wang Chunping, Wang Chunping and Wang Chunping 668-675 97. Building an Automatic Thesaurus to Enhance Information Retrieval Essam Said Hanandeh 676-686 98. A Comparative Approach for Localization Techniques in Wireless Sensor Networks Mohd Asadullah, Mohd Junedul Haque and Mohd Muntjir 687-691 99. Pragmatic Peer Review Project Contextual Software Cost Estimation - A novel approach Manoj Kumar Panda 692-697

100. The Application of Fuzzy Neural Network to Boiler Steam Pressure Control Lei Wang

704-707 101. Two-Dimension Chaotic-Multivariate Signature System Xiaoyan Sun, Maosheng Zhang, Huanguo Zhang and Xiaoshu Zhu 708-712 102. Visual Saliency Based on Local and Global Features in the Spatial Domain Chao Jia, Fang Hou and Liangiang Duan 713-719 103. Study of Online Bayesian Networks Learning in a Multi-Agent System Yonghui Cao 720-728 104. The suggested system for health insurance Application based on Smart Cards Esam Mohamed El Gohary and Mohamed El-Sayed Waheed 729-748 105. Synchronization Criteria of Chaos Systems with Time-delay Feedback Control Chao Ge and Hong Wang 749-753 106. Survey on Services Composition Synthesis Model Ibrahima Kalil Toure, Yang Yang and Shariq Hussain 754-763 Personality Types Classification for Indonesian Text in Partners Searching Website Using Naïve Bayes Methods Ni Made Ari Lestari 1 , I Ketut Gede Darma Putra 2 and AA Ketut Agung Cahyawan 3 1 Department of Information Technology, Udayana University Bali, 80119, Indonesia 2 Department of Information Technology, Udayana University Bali, 80119, Indonesia 3 Department of Information Technology, Udayana University Bali, 80119, Indonesia Abstract The development of digital text information has been growing fast, but most of digital text is in unstructured form. Text mining analysis is needed in dealing with such unstructured text. One of the activities important in text mining is text classification or categorization. Text categorization itself currently has a variety of approaches such as probabilistic approaches, support vector machines, and artificial neural network or decision tree classification. Naive Bayes probabilistic method has several advantages of simplicity in computing. Naïve Bayes method is a good method in machine learning based on training data using conditional probability as the basic. This experiments use text mining with Naïve Bayes method to classify the personality type of user and use the type to find their couples based on the compatibility of their personality type. Keywords: text mining, classification, personality, naive bayes

1. Introduction