Conferences: Recent submissions

  • Clustering with Expectation Maximization in Web Usage Mining System 
    Than, Lei Mon; Tun, Zaw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Web usage mining algorithms have been widely utilized for modeling user web navigation behaviour. This system introduces a model for mining of user’s navigation pattern. The model makes user model navigation pattern. The ...
  • Classifying Textual Documents Using Two Dimensional Probabilistic Model 
    Than, Wai Me Me; Kham, Nang Saing Moon (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    This paper presents the probabilistic model named Twodimensional Probabilistic Model (2DPM). In this model, terms are seen as disjoin events, and terms and categories are realeated to each other. Since the documents are ...
  • Classification the Stages of Dental Caries Using C4.5 Decision Tree Algorithm 
    Mon, May Thet; Htwe, Tin Tin (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the process of analyzing data from different prespectives and summarizing it into useful information. Different applications often require the integration of application-specific methods. Classification is ...
  • Classification System Based On NBC For Cervical Cancer 
    Khaing, Yadanar; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    As the technology grows rapidly, many people take a great interest in computer. Many computerized systems are widely used in medical field such as making decisions for diagnosis to give treatment. Classification is a data ...
  • Classification of Protein By Using Random Forest Classifier 
    Thwin, Su Myat; Min, Mar Mar (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is a process that uses a variety of data analysis tools to discover patterns and relationships in data that may be used to make valid predtictions. Classification is a form of data analysis that can be used ...
  • Classification of Music and Speech from Audio Stream by using Fuzzy Logic 
    Phyo, Ohnmar; Aung, Moh Nyunt (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today multimedia informatio has become an important component of our lives. Rapid increase in the amount of audio data demands for classify audio stream based on its content. This system will be developed audio classification ...
  • Acomparative study of K-Means and KMIX Clustering methods 
    Lwin, No No Saw (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering is the processof grouping the similar objects into the same group and produce characteristic for each cluster. Partition-based clustering algorithms are simple to implement. K-Means is one of the partition based ...
  • Web Document Clustering using Genetic Algorithm 
    Hein, Pyae Sandi; Khine, May Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering (or cluster analysis) is one of the main data analysis techniques and deals with the organization of a set of objects in a multidimensional space into cohesive groups, called clusters. Each cluster contains ...
  • Implementation of Travelling Plan Using Decision Tree Algorithm 
    Mon, Aye Myat; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining is the tasks of discovering interesting pattern from large amounts of data where the data can be stored in database, data warehouse. Data classification is the process of building a model from available data ...
  • Implementation of Travel Insurance System (TIS) with Rule-Based Classification 
    San, Lay Myint Myint; Phyu, Thae Nu (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, a number of classification system have been developed depending on the intended propose of the system. This paper tries to classify exact indemnity for travel Insurance System (TIS) using Rule-Based classification ...
  • Implementation of Marketing Analysis System Using K-Means Clustering Method 
    Win, Khin Pyone; Khin, Myo Myo (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Marketing is the process of planning and executing the conception, pricing, promotion and distribution of ideas, goods and services to create exchanges that satisfy individual and organizational objectives. In this paper, ...
  • Implementation of Customer Relationship Management system using Apriori Algorithm for Online Shopping 
    Thwin, Khaing Yee Mon; Nwe, Khine Moe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Customer relationship management (CRM) is an approach that recognizes that customers are the cores of the business and the company’s success effectively depends on managing their relationship with them. The propose system ...
  • Ensemble Neural Network for Classification 
    Aung, Htet Htet (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Artificial neural networks(ANNs) are computing models for information processing and pattern identification. An ANN is a network of many simple computing units called neurons or cells, which are highly interconnected and ...
  • Diagnosis of Malarias by Using Reduct Generation Algorithm 
    Latt, Nyi Nyi; Sann, Khin Moe (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Data mining aims to discover novel, interesting and useful knowledge and patterns from databases. Data Classification is the process of building a model from available data called the training data set and classifying ...
  • Data Clustering using Ant Clustering Algorithm (ACA) 
    Htwe, Lei Yi; Phyu, Aye Lei Lei (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Clustering refers to the grouping of data records, observation or cases into similar objects. A cluster observation or cases similar to one another, and dissimilar to the record in other cluster. Recently, much research ...
  • Classifying the Fields of Subjects Using Case-Based Reasoning 
    Wai, Hnin Yu; Than, Khin Aye (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Today text classification is a necessity due the very large amount of text documents that we have to deal with daily. Text classification is a task of assigning a text document into classes. In this thesis, the system will ...
  • Classification of Different Abdominal Pain using Decision Tree Induction (ID3 Algorithm) 
    Myint, Khine Swe; Mar, Win (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Nowadays, data classification techniques are very increasingly and applied in real world domain such as medicine, manufacturing and production, weather prediction, and financial analysis. Data classification is the process ...
  • Building Association Rule Mining System By Using Prime Number Based Apriori Algorithm 
    Myat, Khin Wah Wah (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is finding frequent patterns, association, correlations among sets of items or object in transaction databases, relation databases, and other information repositories . Association rule mining ...
  • Analysis of Strong Data By Using Apriori Algorithm 
    Linn, Thu Zar; Aung, Than Htike (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Association rule mining is widely used in business enterprise to analyze for marketing strategies and its good is to find interesting association or correlation relationship among a large set of data items. With massive ...
  • An Approach for ECG QRS Detection Using Support Vector Machine 
    San, Aye Myat (Sixth Local Conference on Parallel and Soft Computing, 2011-12-29)
    Electrocardiogram (ECG) signal provides useful information of the condition of the heart. Most automatic ECG diagnosis techniques require an accurate detection of the QRS complexes. Among all ECG components, QRS complex ...

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