UCSY's Research Repository

Browsing Local Conference on Parallel and Soft Computing by Title

Browsing Local Conference on Parallel and Soft Computing by Title

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  • Incremental Mining of Association Rules by Using Adaptive Algorithm 
    Htoo, Naw Lu Lu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining has recently attracted tremendous amount ofattention in the database research because of its wide applicability in many areas, including decision support, market strategy and financial forecast. One of the most ...
  • Information Encryption Scheme Based on Visual Cryptography and Nonlinear Pseudorandom Sequence 
    Yu, Thin Thin; Mya, Khin Than (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Security requires the integration of people, process, and technology. Strong information encryption and decryption scheme are crucially important for information technology. Nowadays, secret sharing is one popular ...
  • Information Extraction System for IT Related Job 
    Aye, Pyae Pyae; Hla, Ni Ni (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The current development of Web applications such as Blogs and Wikipedia enables users to easily create and disseminate their contents in the Web. As the contents on the Web are rapidly growing, the quantity of information ...
  • Information Hiding in Audio File by Using the Combination of Steganography and Cryptography 
    Dar, Moe San; Khin, Thu Zar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the technique of embedding data in an audio signal by inserting low power tones and its robustness to noise and mixing if embedded wave audio. Information is an aspect that has a value like any other ...
  • Information Retrieval for Pharmacy using Location Based Mobile System 
    Aung, Myat Su; Zaw, Ei Phyu (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Advances in wireless technology increase the number of mobile device users and give pace to the rapid development of e-commerce. In this technology, web services become very popular and used to communicate over the ...
  • Information Retrieval from eXist Native XML Database (NXD) by using Xpath 
    Hlaing, Swe Zin; Bwa, Naw Lel Bwe Paw (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    The exponential group of the Internet and the Web has flooded with huge quantities of data in different formats on a variety of web pages. It is one of the most important to find information not only fastly but also ...
  • Information Retrieval from Sports Domain Ontology Using First-Order Logic 
    Aung, Nwe Ni; Naing, Thinn Thu (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Ontologies are set to play a vital role in the "Semantic Web", extending syntactic interoperability to semantic interoperability by providing a source of shared and precisely defined terms. An ontology is a formal ...
  • Information Retrieval from Text Based Document For Famous Bagan Pagodas in Myanmar 
    Zan, Hnin Wai; Thein, Thin Lai Lai (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    This paper presents information of most famous Bagan pagodas and the similar information of pagodas among the famous Bagan pagodas by using Apriori Algorithm. Nowadays, people are quite busy as they are occupied with their ...
  • Information Retrieval System by Using Probabilistic Ranking Function and Simplified Phrase Search Algorithm 
    Naing, Hsu Myat; Tun, Khin Mo Mo (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    With the huge amount of information available, information retrieval is widely used nowadays. Information retrieval is a field concerned with storage, searching and retrieval of information. The goal of information ...
  • Information Retrieval System using Vector Space Model 
    Swe, Kyu Kyu; Zaw, Thein Htay (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    The heart of an information retrieval system is its retrieval model. The model is used to capture the meaning of documents and queries, and determine from that the relevance of documents with respect to queries. As large ...
  • Information Retrieval System with Pseudo Relevance Feedback using Rocchio algorithm 
    Win, Zin Mar; Wai, Ei Nyein Chan (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Information retrieval is concerned with organizing and retrieving relevant documents from a set of unstructured collections of documents.In most collections, the same concept may be referred to using different word.This ...
  • Informative Content Extraction for Web Page using Text Density and Visionbased Page Segmentation (VIPS) Algorithm Integration 
    Mon, Ei Phyu Phyu; Yuzana (Eighth Local Conference on Parallel and Soft Computing, 2017-12-27)
    Web pages consist of not only actual content, but also other elements such as branding banners, navigational elements, advertisements, copyright etc.Irrelevant content in the Web page is treated as noisy content. This ...
  • Infrastructure-Based Protection of Unauthorized Access on M-Commerce 
    Myint, Theint Zarni; Win, Su Su (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Recent technological innovations such as mobile computing have enabled new facility of buying and selling using mobile devices such as Laptops, PDAs mobile phones and other handheld devices which can support the wireless ...
  • Integrating FS Tree with Clustering for Mining Frequent Web Access Patterns 
    Hlaing, Hnin Ei Ei; Khine, May Aye (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users’ access behavior for the purpose of predicting and hence pre-fetching the web pages ...
  • Integration of Application Services on Private Cloud System 
    Htwe, Khine Khine; Naing, Thinn (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Service composition and integration are well investigated problems in Service Oriented Architecture (SOA). However, this still remaining among the hard SOA challenges. These issues are hindering the agile and cost-effective ...
  • Intelligence Answering about Tuberculosis Using Forward Chaining Approach 
    Yin, Nang Sein (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    An expert system is a computer based system that user knowledge, facts and reasoning techniques to solve problems that normally require the abilities of human experts. Experts systems for the diagnosis of the health ...
  • An Investigation into Variants of Great Deluge(GD) for Hyper-Heuristic (HH) Approach 
    Sin, Ei Shwe; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today, Hyper-Heuristic is not new in AI Field. It is an emerged search technology to select or generate (new) low level heuristics for combinatorial optimization problem and has been applied in many problem domains: personal ...
  • Investigation of Beauty Accessories Sales and Marketing by using Association Rule Mining 
    Zin, Than Yaw; Lwin, Mar Mar (Fifth Local Conference on Parallel and Soft Computing, 2010-12-16)
    Many business enterprises accumulate large quantities of data from their day to day operations. Therefore, in this system, huge amounts of customer purchase beauty accessories data are collected daily by supplier representatives ...
  • Investigation of Lexical Analysis Phase with JFlex 
    Myint, Thet (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    Lexical analysis is the initial part of reading and analyzing the program text in the compilation process. Its main task is to read input characters and produce as output a sequence of tokens that parser uses for syntax ...
  • Iris Classification using Agglomerative Hierarchical Clustering Approach 
    Swe, Hnin Hnin (Fourth Local Conference on Parallel and Soft Computing, 2009-12-30)
    One of the usages of cluster analysis is to understand unknown data, given the value of several selected features. There are a lot of methods have been proposed data understanding. This paper discusses one technique of ...

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