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The Science and Information (SAI) Organization publishes open-access peer-reviewed journals in computer science and artificial intelligence.

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IJARAI Vol. 3 Issue 9 (2014)

Open Access | | 4 papers

Copyright Statement: This is an open access publication licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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1

An Inference Mechanism Framework for Association Rule Mining

Author 1: Kapil Chaturvedi Author 2: Dr. Ravindra Patel Author 3: Dr. D.K. Swami

Available approaches for Association Rule Mining (ARM) generates a large number of association rules, these rules may be trivial and redundant and also such rules are difficult to manage and understand for the users. If we consider their complexity, then it consumes lots of time and memory. Sometimes decision making… Read full abstract & cite →

Inference rules ARM Knowledgebase Expert System
Abstract doi.org/10.14569/IJARAI.2014.030901 PDF
2

Fuzzy Concurrent Object Oriented Expert System for Fault Diagnosis in 8085 Microprocessor Based System Board

Author 1: Mr.D. V. Kodavade Author 2: Dr. Mrs.S.D.Apte

With the acceptance of artificial intelligence paradigm, a number of successful artificial intelligence systems were created. Fault diagnosis in microprocessor based boards needs lot of empirical knowledge and expertise and is a true artificial intelligence problem. Research on fault diagnosis in microprocessor based system boards using new fuzzy-object oriented approach… Read full abstract & cite →

Expert Systems fuzzy Inference Knowledge base
Abstract doi.org/10.14569/IJARAI.2014.030902 PDF
3

Design and Implementation of Rough Set Algorithms on FPGA: A Survey

Author 1: Kanchan Shailendra Tiwari Author 2: Ashwin. G. Kothari

Rough set theory, developed by Z. Pawlak, is a powerful soft computing tool for extracting meaningful patterns from vague, imprecise, inconsistent and large chunk of data. It classifies the given knowledge base approximately into suitable decision classes by removing irrelevant and redundant data using attribute reduction algorithm. Conventional Rough set… Read full abstract & cite →

Rough set theory Discernibility matrix reduct Core FPGA classification
Abstract doi.org/10.14569/IJARAI.2014.030903 PDF
4

Dynamic Programming Method Applied in Vietnamese Word Segmentation Based on Mutual Information among Syllables

Author 1: Nguyen Thi Uyen Author 2: Tran Xuan Sang

Vietnamese word segmentation is an important step in Vietnamese natural language processing such as text categorization, text summary, and automated machine translation. The problem with Vietnamese word segmentation is complicated because Vietnamese words are not always separated by a space. One word can include one or more syllables depending on… Read full abstract & cite →

Vietnamese word segmentation dynamic programming mutual information Vietnamese syllables
Abstract doi.org/10.14569/IJARAI.2014.030904 PDF
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