Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Document Streams mining by using sequential topic pattern.
PaperId: :  5553
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 3 2017
DUI:    16.0415/IJARIIE-5553
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Prof. P. V. Waje-Kashid S.V.I.T, Chincholi, Nasik, Maharashtra, India
Ms. Poonam H. Kaute S.V.I.T, Chincholi, Nasik, Maharashtra, India
Ms. Pallavi R. Avhad S.V.I.T, Chincholi, Nasik, Maharashtra, India
Ms. Zulfin A. Syyad S.V.I.T, Chincholi, Nasik, Maharashtra, India
Ms. Vaishnavi S. Tajanpure S.V.I.T, Chincholi, Nasik, Maharashtra, India

Abstract

Information Technology
Web mining, sequential patterns, document streams, rare events, pattern-growth, dynamic programming.
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: pre-processing 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.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . "Document Streams mining by using sequential topic pattern." International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 3 2017 Page 2479-2487
MLA Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . "Document Streams mining by using sequential topic pattern.." International Journal Of Advance Research And Innovative Ideas In Education 3.3(2017) : 2479-2487.
APA Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , & Ms. Vaishnavi S. Tajanpure . (2017). Document Streams mining by using sequential topic pattern.. International Journal Of Advance Research And Innovative Ideas In Education, 3(3), 2479-2487.
Chicago Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . "Document Streams mining by using sequential topic pattern.." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 3 (2017) : 2479-2487.
Oxford Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . 'Document Streams mining by using sequential topic pattern.', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, 2017, p. 2479-2487. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Document_Streams_mining_by_using_sequential_topic_pattern__ijariie5553.pdf (Accessed : ).
Harvard Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . (2017) 'Document Streams mining by using sequential topic pattern.', International Journal Of Advance Research And Innovative Ideas In Education, 3(3), pp. 2479-2487IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Document_Streams_mining_by_using_sequential_topic_pattern__ijariie5553.pdf (Accessed : )
IEEE Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure , "Document Streams mining by using sequential topic pattern.," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 3, pp. 2479-2487, May-Jun 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Document_Streams_mining_by_using_sequential_topic_pattern__ijariie5553.pdf [Accessed : ].
Turabian Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . "Document Streams mining by using sequential topic pattern.." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 3 ().
Vancouver Prof. P. V. Waje-Kashid , Ms. Poonam H. Kaute , Ms. Pallavi R. Avhad , Ms. Zulfin A. Syyad , and Ms. Vaishnavi S. Tajanpure . Document Streams mining by using sequential topic pattern.. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : ]; 3(3) : 2479-2487. Available from: http://ijariie.com/AdminUploadPdf/Document_Streams_mining_by_using_sequential_topic_pattern__ijariie5553.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads



Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
The Shift to Electronic Payment Methods in Commercial Banks: Benefits and ChallengesDigital BankingEssam Zaid Shoaib Al-Dabbashi Download
DEEP ADAPTIVE FEATURE FUSION FOR ORIGIN DESTINATION PASSENGER FLOW FORECASTING IN MASS EVENTSInformation TechnologyBHUKYA RAJAKUMAR Download
REAL TIME EMERGENCY VEHICLE DETECTION USING MACHINE LEARNINGComputer Science and EngineeringAravinthkumar A Download
COLLEGIUMBOT: AN AI-DRIVEN CHATBOT FOR ENHANCING STUDENT ENGAGEMENT AND CAMPUS LIFE THROUGH VOICE-BASED INTERACTIONInformation TechnologySIVASANKAR CHITTOOR Download
AUTOMATED VIDEO TEXT EXTRACTION AND SUMMARIZATION SYSTEM USING LSTM NETWORKSInformation TechnologyT SUNDARARAJULU Download
BLOOD GROUP DETECTION USING FINGERPRINTInformation TechnologyN ANITHA Download
SOLAR RADIATION PREDICTION USING MACHINE LEARNINGInformation TechnologyM RAM KUMAR Download
DEFENDING AGAINST POISONING ATTACKS IN FEDERATED LEARNING WITH BLOCKCHAININFORMATION TECHNOLOGYT.SUNDARARAJULU. Download
DEEP CONVOLUTIONAL NEURAL NETWORK FOR ROBUST DETECTION OF OBJECT-BASED FORGERIES IN ADVANCED VIDEOINFORMATION TECHNOLOGYD.VISWASAHITYA Download
SMART CAR PRICE PREDICTOR USING MACHINE LEARNINGINFORMATION TECHNOLOGYS.JASMIN Download
SUPERVISED LEARNING MODEL INSIGHTS AND EVALUATIONInformation TechnologyB. RAJA KUMAR Download
Enhancing Forensic Data Protection: A Robust Storage Framework with Verified Access and Intelligent Key-Based EncryptionComputer Science EngineeringN ANITHA Download
PREDICTING NEONATAL CARDIAC ARREST IN THE CICU: A STATISTICAL MACHINE LEARNING APPROACH FOR EARLY INTERVENTIONINFORMATION TECHNOLOGYD Viswasahithya Download
AI DRIVEN CROP DISEASE PREDICTION BTech Information TechnologyRhishub Kamalakar Gawade Download
Real-time driver's drowsiness detection using MlInformation Technology and MLKiran parasram shelke Download
12