Clustering technique in data mining : general and research perspective.

Clustering technique in data mining : general and research perspective.

As the amount and dimensionality of data grows beyond the grasp of human minds, automation of pattern discovery becomes crucial. One of the most popular techniques to extract pattern and knowledge from large amount of data in databases is data mining. Data mining can be defined as process of searchi...

Full description

Bibliographic Details
Main Authors:	Che Mat @ Mohd. Shukor, Zamzarina, Md. Sap, Mohd. Noor
Format:	Article
Language:	English
Published:	Penerbit UTM Press 2002
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/8550/1/ZamzarinaCheMat2002_ClusteringTechniqueInDataMining.PDF

Similar Items

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

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

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

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

Classification with degree of importance of attributes for stock market data mining
by: Khokhar, Rashid Hafeez, et al.
Published: (2004)

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

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

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

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

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

A comparative study for outlier detection techniques in data mining
by: Bakar, Zuriana Abu, et al.
Published: (2006)

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

Data pre-processing on web server logs for generalized association rules mining algorithm
by: Abd Wahab, Mohd Helmy, et al.
Published: (2008)

Hybrid self organizing map for overlapping clusters
by: Md. Sap, Mohd. Noor, et al.
Published: (2008)

Mining temporal reservoir data using sliding window technique
by: Wan Ishak, Wan Hussain, et al.
Published: (2011)

Application of kohonen neural network and rough approximation for overlapping clusters optimization
by: Mohebi, E., et al.
Published: (2008)

Study of clustering trechniques in data mining for climate data
by: Bahari, Mahadi, et al.
Published: (2006)

Recognition decision-making model using temporal data mining technique
by: Md Norwawi, Norita, et al.
Published: (2005)

Development of intelligent hybrid learning system using clustering and knowledge-based neural networks for economic forecasting : First phase
by: Che Mat @ Mohd Shukor, Zamzarina, et al.
Published: (2004)

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

Clustering techniques for web mining
by: Sanusi, Emil.
Published: (2010)

Clustering techniques for web mining
by: Lu, Jiao.
Published: (2009)

Clustering techniques for web mining
by: Qiu, Siyuan.
Published: (2012)

A generalized e-learning usage behaviour model by data mining technique
by: Chayanukro, Songsakda, et al.
Published: (2014)

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

Comparative Study Of Plant Biodiversity Data Modeling In Research Perspective
by: Wahid, Mohd Taib, et al.
Published: (2004)

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

Comparing the performance of winsorize tree to other data mining techniques for cases involving outliers
by: Chee, Keong Ch’ng
Published: (2019)

Identification of significant features and data mining techniques in predicting heart disease
by: Amin, Mohammad Shafenoor, et al.
Published: (2019)

Profiling Oman education data using data mining approach
by: Alalawi, Sultan Juma Sultan, et al.
Published: (2017)

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)

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

Graduates employment classification using data mining approach
by: Ab Aziz, Mohd Tajul Rizal, et al.
Published: (2016)

Examining cultural effects on distributed decision-making processes using keyword analysis and data mining techniques
by: Zakaria, Norhayati, et al.
Published: (2012)

Development of an intelligent prediction tool for rice yield based on machine learning techniques
by: Md. Sap, Mohd. Noor, et al.
Published: (2006)

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

Clustering High Dimensional Data Using Subspace And Projected Clustering Algorithms
by: Sembiring, Rahmat Widia, et al.
Published: (2010)

High reliability replication technique for web-server cluster systems
by: Deris, Mustafa Mat, et al.
Published: (2005)

A data mining approach to profiling of MBA students
by: Ang, Chooi Leng, et al.
Published: (2007)

An online density-based clustering algorithm for data stream based on local optimal radius and cluster pruning
by: Islam, Md Kamrul
Published: (2019)