Clustering, Markov Model and Association Rules
A framework of combining Markov model with association rules for predicting web page accesses
... order Markov model results cannot be 100% reliable simply because we did not look back into the history of pages accessed by the ...order Markov models techniques solves the problem of examining the ...
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Clustering with Hidden Markov Model on Variable Blocks
... existing clustering methods. To address this issue, we propose a new mixture model called Hidden Markov Model on Variable Blocks (HMM-VB) and a new mode search algorithm called Modal ...
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Discovering Semantic Association Rules using Apriori and kth Markov Model on Social Mining
... mining model is kind of mining to server ...semantic association rules using Apriori algorithm and kth Markov model & analyze pattern discovery on social ...
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Rough Sets Clustering and Markov model for Web Access Prediction
... set clustering to cluster web transactions from web access logs and using Markov model for next access ...the model includes a rough sets scheme in which search similarity measure to compute ...
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rEMM: Extensible Markov Model for Data Stream Clustering in R
... extensible Markov model (EMM) originally developed by Dunham, Meng, and Huang (2004) provides a technique to add temporal information in form of an evolving Markov chain (MC) to data stream ...
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Prediction of Criminal Suspects Based on Association Rules and Tag Clustering
... summary, association rules have been extensively applied to crime mining in relevant studies, the effectiveness of ARM in different fields of crime mining has been investigated in depth, and a large number ...
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Investigate the Performance of WordNet and Association Rules for Hard Clustering Web Document
... document clustering methods, there still exist several challenges for increasing the quality of ...document clustering problems are solved by the proposed system at the same ...tire association ...
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The Analysis of the Length of Studies in Higher Education based on Clustering and the Extraction of Association Rules
... association rules were extracted related to learning goals of the courses, the teaching practices, ...“these rules and clustering techniques could be used for solving the problem of the ...
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Techniques for improving clustering and association rules mining from very large transactional databases
... while association rule mining is defined only for transactional ...for clustering and association rules mining have been intensively studied for the stored databases during the last two ...
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Hidden Markov Model with Information Criteria Clustering and Extreme Learning Machine Regression for Wind Forecasting
... on clustering and ...For clustering, a hidden Markov model (HMM) and the modified Bayesian information criteria (BIC) are incorporated in a new method of clustering time series ...The ...
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A Hybrid Approach to Solve Cold Start Problem in Recommender Systems using Association Rules and Clustering Technique
... on association rules, clustering, classification ...paper, association rules and clustering technique is used for solving cold ...start. Association rules are used ...
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Using Markov Model and Association Rules for Web Access Prediction
... different association-rule based methods for web request ...of rules. They consist of five rules; called subset rule, subsequence rule, latest-subsequence rule, substring rule and latest-substring ...
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Analysis of Customer Behavior using Clustering and Association Rules
... Product association rules can be used to motivate customers to increase their purchases and keep loyal to the company. The behavior of customers can be easily identified. Apriori algorithm is very helpful ...
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Analysis of Customer Behavior using Clustering and Association Rules
... Product association rules can be used to motivate customers to increase their purchases and keep loyal to the company. The behavior of customers can be easily identified. Apriori algorithm is very helpful ...
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Parallel Data Mining Algorithms for Association Rules and Clustering
... parallel association rule mining and clustering are studied, spanning distributed and shared memory systems, data and task parallelism, static and dynamic workload bal- ancing strategies, and so ...of ...
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Boolean factors as a means of clustering of interestingness measures of association rules
... other clustering methods, Boolean factors represent overlapping ...The clustering results obtained in this paper may therefore be regarded as cluster validation results as well and may be taken as reference ...
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Clustering Method Evaluation for Hidden Markov Model Based Real- Time Gesture Recognition
... Keywords—Clustering; HMM; Gesture I. I NTRODUCTION Gestures are used to communicate due to their versatile appeal. They play a vital role in many aspects of communication. But gesture recognition is difficult due ...
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Clustering financial time series: new insights from an extended hidden Markov model
... by model-based clustering of regime switching ...proposed model handles simultaneously the heterogeneity across stock markets and over time, ...
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Predicting next page access by Markov models and association rules on web log data
... first-order Markov model is the best prediction among them. The Markov model construct of such an access model identifies the most likely hyperlink Web pages from the currently ...
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Predicting User Access Pattern Using Markov Model and Association Rule.
... Markov model can to used to determine next state based on previous state but Low order Markov models do not consider history in detail and therefore, accuracy is very low, whereas, high order ...
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