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Sequential patterns for text categorization
2006
Intelligent Data Analysis
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We propose, in this paper, to extend this approach by using sequential patterns in the SPaC method (Sequential Patterns for Classification) for text categorization. ...
The original method we propose here consists of mining sequential patterns in order to build a classifier. ...
In [34, 36] , the authors propose to use sequential patterns for categorization. ...
doi:10.3233/ida-2006-10302
fatcat:e74x4w3xgjdhdhc5ptaqngq5oi
Efficient Updating of Discovered Patterns for Text Mining: A Survey
2012
International Journal of Computer Applications
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There are many techniques for mining the useful patterns from the text document. Researchers are still going in efficient updating of discovered pattern. ...
This paper presents an outline of effectiveness of using and updating patterns for finding interesting and relevant information from the text document by using two methods pattern evolving and deploying ...
Closed Sequential Pattern Sequential pattern included in no other sequential pattern that has the same support exactly is closed sequential pattern. ...
doi:10.5120/9248-3412
fatcat:at5yg5umyzgdllhko5xc773d64
Mining Sequential Pattern of Data in Textual Document Using Data Mining Classification Technique
2019
Asian Journal of Computer Science and Technology
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To solve this problem, this paper analyzing the sequential data and characterize the user behavior with the help of the data mining sequential pattern matching algorithm. ...
Text document were transmitted over the internet for the text communication. So they were occurred many problems like repeated text occurred because of same data were provided in the internet. ...
SEQUENTIAL ANALYSES FOR TEXTUAL DOCUMENT Sequential pattern mining is the mining of co-occurring of text occurred in the text document. ...
doi:10.51983/ajcst-2019.8.s1.1961
fatcat:cwmkauycvzfkrfyhkgbyflirba
Classification of Documents using Effective Pattern Taxonomy
2014
International Journal of Computer Applications
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Pattern Taxonomy based model containing sequential pattern used to perform the task. ...
Pattern based method is best way to eliminate meaningless as well as closed sequential patterns thus saving computational time and increases effectiveness of the system. ...
So by using PTM categorize the document and then weights are being calculated for individual patterns. ...
doi:10.5120/14989-2566
fatcat:zasoj663hbbh7obeexis2cbqk4
Pattern Taxonomy Mining for Text Categorization
2017
International Journal of Computer Applications
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Algorithms to deploy patterns and to evolve inner pattern are used to improve the effectiveness of pattern discovery. RCV1 text collection is used for experiments in this paper. ...
Performance and execution of text categorization have significantly enhanced without any lose in the accuracy rate. ...
Many datasets are available now for text categorization studies, such as Reuters-21756, RCV1, TREC [1] [4] [10] etc. ...
doi:10.5120/ijca2017914465
fatcat:zbzujwm6mjcynfbb37x5phlr2m
Rule generation for categorical time series with Markov assumptions
2009
Statistics and computing
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Several procedures of sequential pattern analysis are designed to detect frequently occurring patterns in a single categorical time series (episode mining). ...
Based on these frequent patterns, rules are generated and evaluated, for example, in terms of their confidence. ...
As an example, the part-of-speech tagger described by Brill (1992) is based on sequential rules generated from text data. ...
doi:10.1007/s11222-009-9141-z
fatcat:jkzwyc5esnf5bc24sczjttec4u
A Novel Literary Translation Text Classification Method Based on Distributed Incremental Sequence Data Mining Algorithm
2022
Security and Communication Networks
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Literary translation text classification is the process of classifying a given text as one or several of several predetermined text categories according to the content of the text. ...
As one of the key steps in processing huge amounts of text data, text classification is generally regarded as the orderly organization of text sets, that is, grouping similar and related texts together ...
Text Classification Based on Sequential Patterns. ...
doi:10.1155/2022/1656151
fatcat:smjq5dyknrcfvj3wliogivuvly
Unsupervised Relation Extraction in Specialized Corpora Using Sequence Mining
[chapter]
2016
Lecture Notes in Computer Science
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The results indicate that sequential pattern mining can significantly improve pattern-based representations, even in a completely unsupervised setting. ...
This paper deals with the extraction of semantic relations from scientific texts. ...
The authors would like to thank the anonymous reviewers for their valuable comments. ...
doi:10.1007/978-3-319-46349-0_21
fatcat:f5bbgcke6fcw7odxu7vjp3wdne
Adapting association patterns for text categorization
2006
Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06
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Specifically, we show that hyperclique patterns are more desirable than frequent patterns for text categorization. ...
Along this line, we develop an algorithm for text categorization using hyperclique patterns. ...
What kind of association patterns are the best candidate for associative text categorization? 2. What is the most desirable way to use association patterns for text categorization? ...
doi:10.1145/1183614.1183728
dblp:conf/cikm/QianXWC06
fatcat:nj7goa6qibf25fym33x6rhqu5q
Page 410 of Behavior Research Methods Vol. 39, Issue 3
[page]
2007
Behavior Research Methods
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And Figure 3 illustrates a sample run for a user interested in calculating the mean run length for a given child’s observed sequential touching behavior. ...
As noted above, users of the sequential touching procedure are usually interested in determining whether the sequential touching behavior of a given child is indicative of the categorical understanding ...
Visualizing the sequential process of knowledge elaboration in computer-supported collaborative problem solving
2009
Computers & Education
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For instance, the determination of patterns was not normalized, which indicates that categorizing the process into patterns heavily relied on individual judgment. ...
•The proposed method combines qualitative content analysis and sequential analysis of online text-based messages. ...
Researchers used the instructor function to record all of students' text-based messages as well as the time slots for each message. ...
doi:10.1016/j.compedu.2008.10.009
fatcat:nvr5xujcnnb23bz44bwbfwwqe4
Exploring Sequential Data
[chapter]
2012
Lecture Notes in Computer Science
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The tutorial is devoted to categorical sequence data describing for instance the successive buys of customers, working states of devices, visited web pages, or professional careers. ...
In text analysis, the aim could be to find out patterns that characterize an author, or patterns common to texts dealing with a specific subject. ...
Types of Categorical Sequence Data Categorical sequence data are present in very different fields. ...
doi:10.1007/978-3-642-34106-9_6
fatcat:gh3d5763yzakzjdcmhw5z2h2v4
Exploring Sequential Data
[chapter]
2012
Lecture Notes in Computer Science
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The tutorial is devoted to categorical sequence data describing for instance the successive buys of customers, working states of devices, visited web pages, or professional careers. ...
In text analysis, the aim could be to find out patterns that characterize an author, or patterns common to texts dealing with a specific subject. ...
Types of Categorical Sequence Data Categorical sequence data are present in very different fields. ...
doi:10.1007/978-3-642-33492-4_3
fatcat:idwgzdxdmnf4fmywmpwqbredtq
A New Approach for Extraction of Pattern Frames in Text Mining
2014
International Journal of Computer Applications
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Pattern evolution methods are employed to perform the same concept of tasks .This paper presents a new approach for extraction of the pattern frames in text mining. ...
Text mining refers to the technique which is useful to find the information from a huge volume of digital documents. Many existing text mining methods follow the term based approaches. ...
The objective of the current work is to propose an approach for finding the useful patterns in the text documents. ...
doi:10.5120/18087-9130
fatcat:cbxh3mq3qnd6bguoamkhtmpj4m
Sequential Document Visualization
2007
IEEE Transactions on Visualization and Computer Graphics
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Documents and other categorical valued time series are often characterized by the frequencies of short range sequential patterns such as n-grams. ...
We present a novel framework for sequential visualization of discrete categorical time series based on the idea of local statistical modeling. ...
ACKNOWLEDGEMENTS The authors wish to thank Jeff Bilmes for his interesting comments regarding the lowbow representation, and anonymous reviewers for their helpful suggestions on earlier drafts. ...
doi:10.1109/tvcg.2007.70592
pmid:17968066
fatcat:patew4bkznb7zdvnntkwckppqi
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