[PDF] Top 20 A Performance Analysis of Sequential Pattern Mining Algorithms
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A Performance Analysis of Sequential Pattern Mining Algorithms
... i) GSP (Generalized Sequential Pattern)- algorithms is represented by Agrawal and Shrikant [4] makes the multiple passes on the data. This algorithm is much faster than the AprioriAll algorithm. In ... See full document
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A Survey of Sequential Rule Mining Algorithms
... Harms et al. 14 SPAM (Sequential PAttern Mining) is a typical algorithm which integrates a variety of old and new algorithmic contributions. It is lexicographic tree has been used to store all the ... See full document
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Plagiarism Detection using Sequential Pattern Mining
... The algorithm was implemented in a database application. using Adaptive Server SQL Anywhere version 11.0 with add on In-Memory version 11.0 and PowerBuilder 11.5. This has multiple advantages. First, it perfectly matches ... See full document
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Analyzing of incremental high utility pattern mining based on tree structures
... utility pattern mining was proposed to solve the drawbacks of traditional frequent pattern mining approach that cannot handle various features of real-world applications, many different ... See full document
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Performance Evaluation of Sequential and Parallel Mining of Association Rules using Apriori Algorithms
... of mining Association Rules is essentially to discover strong Association Rules in large ...of mining Association Rules has been decomposed into the following two ... See full document
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A method based on sequential access patterns for information retrieval
... adopts sequential pattern mining ...The sequential pattern mining methods consider the sequential characteristics of access patterns [2], which cannot be found in ... See full document
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Generalized Sequential Pattern Mining with Item Intervals
... Abstract— Sequential pattern mining is an important data mining method with broad applications that can extract frequent sequences while maintaining their ...of sequential pat- terns ... See full document
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SPMF: A Java Open-Source Pattern Mining Library
... popular pattern mining algorithms such as Apriori (Agrawal and Srikant, 1994), GSP (Srikant et ...of pattern mining ...its pattern mining algorithms and LUCS-KDD ... See full document
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A Comparative Analysis of Frequent Pattern Mining Algorithms
... specific pattern and on the basis of this pattern it will decide whether to save data on local server or push it on to the ...This Pattern generation process is the most important part in our ... See full document
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Survey on Enhanced Sequential Pattern Mining
... the performance of an algorithm pruning techniques are used ...vertical mining algorithm to improve mining performance and this can be done if we design an effective candidate pruning ... See full document
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Comparative Study of Time Interval Weighted Sequential pattern Mining and Prefixspan Algorithm
... Sequential pattern mining is one of the most important data mining techniques, which has drawn a great number of researches to pursue it, because of its numerous applications including usage ... See full document
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Efficient Mining of Emerging Patterns
... Sequential pattern mining, which discovers frequent subsequences as patterns in a se- quence database, is an important data mining problem with broad applications, including the ... See full document
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Mining Effective Patterns From Text Data- A Survey
... Text mining is one of the efficient techniques of data mining to discover and extract valuable information from textual ...text pattern mining in large datasets is an interesting area of ... See full document
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A pattern growth-based sequential pattern mining algorithm called prefixSuffixSpan
... Sequential pattern mining is an important data mining problem widely addressed by the data mining community, with a very large field of ...sequence pattern mining aims at ... See full document
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FREQUENT PATTERN MINING USING DYNAMIC PROGRAMMING
... methods, pattern-growth methods, such as FP growth [11] and Trade projection [3] have been ...A pattern – growth methods uses the Apriori ...high performance in various kinds of data, out performs ... See full document
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Applications of Data Mining Algorithms for Network
... two studies proposed a sequential pattern mining technique that incorporated alert information. 327[r] ... See full document
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Performance Analysis of Clustering Algorithms in Data Mining
... clustering algorithms, the number of final cluster (k) needs to be defined ...Also, algorithms have problems like susceptible to local optima, sensitive to outliers, memory space and unknown number of ... See full document
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Performance Analysis of Rare Itemset Mining Algorithms
... Apriori-based algorithms utilize a bottom-up search, enumerating every single frequent ...Apriori-based algorithms to find only short patterns, since they only implement subset infrequency pruning by ... See full document
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Visualization Based Sequential Pattern Text Mining
... of sequential patterns in knowledge discovery and data mining is to identify the item that frequently precedes another ...a sequential pattern can be described as a finite series of elements ... See full document
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Performance Evaluation on State of the Art Sequential Pattern Mining Algorithms
... (Sequential PAttern Mining) algorithm is based on the Apriori ...for mining sequential patterns that traverse the lexicographical sequence tree in depth-first ... See full document
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