Filters








62,940 Hits in 3.1 sec

Sequential patterns for text categorization

S. Jaillet, A. Laurent, M. Teisseire
2006 Intelligent Data Analysis  
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

Anisha Radhakrishnan, Mathew Kurian
2012 International Journal of Computer Applications  
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

J. Jayasudha, A. Christina Esther
2019 Asian Journal of Computer Science and Technology  
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

Mallareddy UdayKiran, R Ravikanth
2014 International Journal of Computer Applications  
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

Neeraj Kesavan, N. Jaisankar, Ramani S.
2017 International Journal of Computer Applications  
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

Christian H. Weiß
2009 Statistics and computing  
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

Ji Sun, Chin-Ling Chen
2022 Security and Communication Networks  
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]

Kata Gábor, Haïfa Zargayouna, Isabelle Tellier, Davide Buscaldi, Thierry Charnois
2016 Lecture Notes in Computer Science  
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

Tieyun Qian, Hui Xiong, Yuanzhen Wang, Enhong Chen
2006 Proceedings of the 15th ACM international conference on Information and knowledge management - CIKM '06  
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  
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

N. Ding
2009 Computers & Education  
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]

Gilbert Ritschard
2012 Lecture Notes in Computer Science  
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]

Gilbert Ritschard
2012 Lecture Notes in Computer Science  
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

B. SankaraBabu, K. Rajasekhar Rao, P.Satheesh P.Satheesh
2014 International Journal of Computer Applications  
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

Yi Mao, Joshua Dillon, Guy Lebanon
2007 IEEE Transactions on Visualization and Computer Graphics  
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
« Previous Showing results 1 — 15 out of 62,940 results