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Title: :  Document Streams Mining By Using Sequential Topic Pattern
PaperId: :  4139
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4139
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Sayyed ZulfinSVIT chincholi Nashik
kaute PoonamSVIT chincholi Nashik
Tajanpure VaishnaviSVIT chincholi Nashik
Avhad PallaviSVIT chincholi Nashik
P.V.WajeSVIT chincholi Nashik

Abstract

Data Mining
Web mungu, Sequential patterns, Document Streams, Rare events, Pattern growth, dynamic programming
Abstract Textual documents created and distributed on the Internet are ever changing in various forms. Most of existing works are devoted to topic modeling and the evolution of individual topics, while sequential relations of topics in successive documents published by a specific user are ignored. In this paper, in order to characterize and detect personalized and abnormal behaviors of Internet users, we propose Sequential Topic Patterns (STPs) and formulate the problem of mining User-aware Rare Sequential Topic Patterns (URSTPs) in document streams on the Internet. They are rare on the whole but relatively frequent for specific users, so can be applied in many real-life scenarios, such as real-time monitoring on abnormal user behaviors. We present a group of algorithms to solve this innovative mining problem through three phases: preprocessing to extract probabilistic topics and identify sessions for different users, generating all the STP candidates with (expected) support values for each user by pattern-growth, and selecting URSTPs by making user-aware rarity analysis on derived STPs. Experiments on both real (Twitter) and synthetic datasets show that our approach can indeed discover special users and interpretable URSTPs effectively and efficiently, which significantly reflect users characteristics.

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IJARIIE Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. "Document Streams Mining By Using Sequential Topic Pattern" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 1154-1157
MLA Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. "Document Streams Mining By Using Sequential Topic Pattern." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 1154-1157.
APA Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, & P.V.Waje. (2017). Document Streams Mining By Using Sequential Topic Pattern. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 1154-1157.
Chicago Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. "Document Streams Mining By Using Sequential Topic Pattern." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 1154-1157.
Oxford Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. 'Document Streams Mining By Using Sequential Topic Pattern', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 1154-1157. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Document_Streams_Mining_By_Using_Sequential_Topic_Pattern_ijariie4139.pdf (Accessed : 02 February 2019).
Harvard Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. (2017) 'Document Streams Mining By Using Sequential Topic Pattern', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 1154-1157IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Document_Streams_Mining_By_Using_Sequential_Topic_Pattern_ijariie4139.pdf (Accessed : 02 February 2019)
IEEE Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje, "Document Streams Mining By Using Sequential Topic Pattern," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 1154-1157, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Document_Streams_Mining_By_Using_Sequential_Topic_Pattern_ijariie4139.pdf [Accessed : 02 February 2019].
Turabian Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. "Document Streams Mining By Using Sequential Topic Pattern." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (02 February 2019).
Vancouver Sayyed Zulfin, kaute Poonam, Tajanpure Vaishnavi, Avhad Pallavi, and P.V.Waje. Document Streams Mining By Using Sequential Topic Pattern. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 02 February 2019]; 3(2) : 1154-1157. Available from: http://ijariie.com/AdminUploadPdf/Document_Streams_Mining_By_Using_Sequential_Topic_Pattern_ijariie4139.pdf
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