An initial state of design and development of intelligent knowledge discovery system for stock exchange database
Data mining is a challenging matter in research field for the last few years.Researchers are using different techniques in data mining.This paper discussed the initial state of Design and Development Intelligent Knowledge Discovery System for Stock Exchange (SE) Databases. We divide our problem in t...
| Main Authors: | , , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2004
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/13887/1/KM157.pdf |
| _version_ | 1825803268536664064 |
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| author | Che Mat @ Mohd Shukor, Zamzarina Khokhar, Rashid Hafeez Md Sap, Mohd Noor |
| author_facet | Che Mat @ Mohd Shukor, Zamzarina Khokhar, Rashid Hafeez Md Sap, Mohd Noor |
| author_sort | Che Mat @ Mohd Shukor, Zamzarina |
| collection | UUM |
| description | Data mining is a challenging matter in research field for the last few years.Researchers are using different techniques in data mining.This paper discussed the initial state of Design and Development Intelligent Knowledge Discovery System for Stock Exchange (SE) Databases. We divide our problem in two modules.In first module we define Fuzzy Rule Base System to determined vague information in stock exchange databases.After normalizing massive amount of data we will apply our proposed approach, Mining Frequent Patterns with Neural Networks.Future prediction (e.g., political condition, corporation factors, macro economy factors, and psychological factors of investors) perform an important rule in Stock Exchange, so in our prediction model we will be able to predict results more precisely.In second module we will generate clustering algorithm. Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules. |
| first_indexed | 2024-07-04T05:54:05Z |
| format | Conference or Workshop Item |
| id | uum-13887 |
| institution | Universiti Utara Malaysia |
| language | English |
| last_indexed | 2024-07-04T05:54:05Z |
| publishDate | 2004 |
| record_format | eprints |
| spelling | uum-138872015-05-11T02:16:11Z https://repo.uum.edu.my/id/eprint/13887/ An initial state of design and development of intelligent knowledge discovery system for stock exchange database Che Mat @ Mohd Shukor, Zamzarina Khokhar, Rashid Hafeez Md Sap, Mohd Noor QA76 Computer software Data mining is a challenging matter in research field for the last few years.Researchers are using different techniques in data mining.This paper discussed the initial state of Design and Development Intelligent Knowledge Discovery System for Stock Exchange (SE) Databases. We divide our problem in two modules.In first module we define Fuzzy Rule Base System to determined vague information in stock exchange databases.After normalizing massive amount of data we will apply our proposed approach, Mining Frequent Patterns with Neural Networks.Future prediction (e.g., political condition, corporation factors, macro economy factors, and psychological factors of investors) perform an important rule in Stock Exchange, so in our prediction model we will be able to predict results more precisely.In second module we will generate clustering algorithm. Generally our clustering algorithm consists of two steps including training and running steps.The training step is conducted for generating the neural network knowledge based on clustering.In running step, neural network knowledge based is used for supporting the Module in order to generate learned complete data, transformed data and interesting clusters that will help to generate interesting rules. 2004-02-14 Conference or Workshop Item PeerReviewed application/pdf en https://repo.uum.edu.my/id/eprint/13887/1/KM157.pdf Che Mat @ Mohd Shukor, Zamzarina and Khokhar, Rashid Hafeez and Md Sap, Mohd Noor (2004) An initial state of design and development of intelligent knowledge discovery system for stock exchange database. In: Knowledge Management International Conference and Exhibition 2004 (KMICE 2004), 14-15 February 2004, Evergreen Laurel Hotel, Penang. http://www.kmice.cms.net.my |
| spellingShingle | QA76 Computer software Che Mat @ Mohd Shukor, Zamzarina Khokhar, Rashid Hafeez Md Sap, Mohd Noor An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title | An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title_full | An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title_fullStr | An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title_full_unstemmed | An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title_short | An initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| title_sort | initial state of design and development of intelligent knowledge discovery system for stock exchange database |
| topic | QA76 Computer software |
| url | https://repo.uum.edu.my/id/eprint/13887/1/KM157.pdf |
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