Mukesh Patel

Mukesh Patel
Sarvajanik College of Engineering and Technology | SCET · Department of Information Technology Engineering

Master of Engineering

About

9
Publications
839
Reads
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23
Citations

Publications

Publications (9)
Conference Paper
Sequential pattern mining is one of the most studied data mining problem and has wide range of application domains including weather prediction, network intrusion detection, web access analysis, customer purchase analysis, etc. The weighted sequential pattern mining is an approach to find only interesting sequential patterns by assigning weights to...
Conference Paper
Full-text available
Speech plays a basic role in communication between people, in education, in sharing ideas and in maintaining social contacts. The Speech-impaired have to challenge communication barriers in a mostly speech-capable society. Many ways of communications are used between human and computer, one of them includes using gesture which is considered to be o...
Article
Full-text available
Data mining techniques are used to find novel, potentially useful patterns to derive best knowledge from input dataset. For identifying the usefulness of patterns, many constraints have been proposed like time-interval between itemsets, utility parameters (price, profit, quantity etc.), weight of an itemset etc. Time-interval provides interval betw...
Conference Paper
Full-text available
Sequential pattern mining is helpful methodology to discover customer purchasing behaviour from large sequence database. Sequential pattern mining can be used in medical records, marketing, sales analysis, and web log analysis and so on. The traditional sequential pattern mining does not give the pattern which is recent and profitable. So, RFM-base...
Conference Paper
Full-text available
Sequential pattern mining is helpful methodology to discover customer purchasing behaviour from large sequence database. Sequential pattern mining can be used in medical records, marketing, sales analysis, and web log analysis and so on. The traditional sequential pattern mining does not give the pattern which is recent and profitable. So, RFM-base...
Conference Paper
Full-text available
In the tourism recommendation system, the number of users and items is very large. But traditional recommendation system uses partial information for identifying similar characteristics of users. Collaborative filtering is the primary approach of any recommendation system. It provides a recommendation which is easy to understand. It is based on sim...
Article
Full-text available
In the tourism recommendation system, the number of users and items is very large. But traditional recommendation system uses partial information for identifying similar characteristics of users. Collaborative filtering is the primary approach of any recommendation system. It provides a recommendation which is easy to understand. It is based on sim...
Conference Paper
Full-text available
Main purpose of using different data mining techniques is to find novel, potentially useful patterns which can be useful in real world applications to derive best knowledge and using it into useful way. For identifying the usefulness of patterns, many constraints has been proposed by many researchers are like time-interval between itemsets, utility...

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Projects

Project (1)
Project
Improving Efficiency and Utility in Sequential Pattern Mining