Classification with degree of importance of attributes for stock market data mining

QR Code

Classification with degree of importance of attributes for stock market data mining

With the increase of economic globalization and evolution of information technology, financial time series data are being generated and accumulated at an unprecedented pace. As a result, there has been a critical need for automated approaches to effective and efficient utilization of massive amount...

Full description

Bibliographic Details
Main Authors:	Khokhar, Rashid Hafeez, Md. Sap, Mohd. Noor
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2004
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/3425/ http://eprints.utm.my/3425/1/scan0006.pdf

Similar Items

Predictive fuzzy reasoning method for time series stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2005)

Development of a compact linguistic rules-tree (CLR-Tree) : the first phase.
by: Khokhar, Rashid Hafeez, et al.
Published: (2003)

Data mining and e-commerce : methods, applications, and challenges
by: Rastegari, Hamid, et al.
Published: (2008)

Predictive data mining based on similarity and clustering methods.
by: Defit, Sarjon, et al.
Published: (2000)

Classification of stock market index based on predictive fuzzy decision tree
by: Khokhar, Arashid Hafeez
Published: (2005)

Data Mining : A Preview
by: Defit, Sarjon, et al.
Published: (2000)

Stock Market Prediction with Big Data Through Hybridization of Data Mining and Optimized Neural Network Techniques
by: Das, Debashish, et al.
Published: (2017)

Outlier Detection Technique in Data Mining: A Research Perspective
by: Mansur, M. O., et al.
Published: (2005)

Clustering technique in data mining : general and research perspective.
by: Che Mat @ Mohd. Shukor, Zamzarina, et al.
Published: (2002)

Stock market predicton using support vector machines
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Refinement of generated weighted fuzzy production rules by using fuzzy neural networks for stock market prediction.
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

Data mining approach to herbs classification
by: Ahmad Dali, Adillah Dayana, et al.
Published: (2018)

Network intrusions classification using data mining approaches
by: Slamet, Slamet, et al.
Published: (2021)

Technical approach in text mining for stock market prediction: a systematic review
by: Islam, Mohammad Rabiul, et al.
Published: (2018)

Mining association rule from large databases.
by: Defit, Sarjon, et al.
Published: (2001)

Attribute related methods for improvement of ID3 Algorithm in classification of data: A review
by: Nur Farahaina, Idris, et al.
Published: (2020)

Predicting Stock Prices Using Data Mining Technique
by: Thuy, Nguyen Thi Thu, et al.
Published: (2023)

Data mining in electronic commerce using classification technique / Lim Lee Chin
by: Lim , Lee Chin
Published: (2003)

Mining Least Association Rules of Degree Level Programs Selected by Students
by: Zailani, Abdullah, et al.
Published: (2014)

An initial state of design and development of intelligent knowledge discovery system for stock exchange database
by: Che Mat @ Mohd Shukor, Zamzarina, et al.
Published: (2004)

Discovering interesting knowledge in databases – Data Mining with classification / Kheong Ling Ling
by: Kheong , Ling Ling
Published: (2003)

A new soft set-based technique for clustering attribute selection in educational data mining
by: Suhirman, .
Published: (2016)

Data Mining for Building Neural Protein Sequence Classification Systems with Improved Performance
by: Wang, Dianhui, et al.
Published: (2003)

Intelligent mining multi dimensional association rules from large inconsistent databases.
by: Defit, Sarjon, et al.
Published: (2003)

Financial time series representation using multiresolution important point retrieval method
by: Phetking, Chaliaw, et al.
Published: (2008)

Modelling kernel methods for unsupervised learning of micro array data
by: Md. Sap, Mohd. Noor
Published: (2008)

Maldroid- attribute selection analysis for malware classification
by: Rahiwan Nazar, Romli, et al.
Published: (2019)

Support vector classification of remote sensing images using improved spectral Kernels
by: Md. Sap, Mohd. Noor, et al.
Published: (2008)

A review current routing attacks in mobile ad-hoc networks
by: Khokhar, Rasheed Hafeez, et al.
Published: (2008)

A binary access control scheme with high data security.
by: Islam, Md. Rafiqul, et al.
Published: (2002)

Accelerated mine blast algorithm for ANFIS training for solving classification problems
by: Mohd Salleh, Mohd Najib, et al.
Published: (2016)

Pengelompokan data kajicuaca bagi peramalan taburan hujan
by: Dollah@Md. Zain, Rozilawati, et al.
Published: (2003)

Clustering Spatial Data Using a Kernel-Based Algorithm
by: Awan, A. Majid, et al.
Published: (2005)

Finding spatio-temporal patterns in climate data using clustering
by: Md. Sap, Mohd. Noor, et al.
Published: (2005)

The importance of data classification using machine learning methods in microarray data
by: Jaber, Aws Naser, et al.
Published: (2021)

Study and Implementation of Data Mining in Urban Gardening
by: Mohana, Muniandy, et al.
Published: (2019)

Unsupervised Anomaly Detection with Unlabeled Data Using Clustering
by: Chimphlee, Witcha, et al.
Published: (2005)

Neural network and principle component analysis based numerical data analysis for stock market prediction with machine learning techniques
by: Islam, Mohammad Rabiul, et al.
Published: (2019)

Pengelompokan Selari Untuk Data Skala Besar dan Dimensional Tinggi Pada Aplikasi Perlombongan Data
by: Afivi, Refcan, et al.
Published: (2005)

Data Analysis and Rating Prediction on Google Play Store Using Data-Mining Techniques
by: Kayalvily, Tabianan, et al.
Published: (2022)