SMS spam filtering and thread identification using bi-level text classification and clustering techniques
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[1] Qian Wang,et al. Studying of Classifying Junk Messages Based on The Data Mining , 2009, 2009 International Conference on Management and Service Science.
[2] Deokjai Choi,et al. Independent and Personal SMS Spam Filtering , 2011, 2011 IEEE 11th International Conference on Computer and Information Technology.
[3] Azadeh Shakery,et al. An Evolutionary-Based Method for Reconstructing Conversation Threads in Email Corpora , 2012, 2012 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining.
[4] Ani Nenkova,et al. Facilitating email thread access by extractive summary generation , 2003, RANLP.
[5] I. Androulidakis,et al. Spam goes mobile: Filtering unsolicited SMS traffic , 2012, 2012 20th Telecommunications Forum (TELFOR).
[6] Guoxiang Liu,et al. The application of data mining in the classification of spam messages , 2012, 2012 International Conference on Computer Science and Information Processing (CSIP).
[7] Prateek Saxena,et al. The curse of 140 characters: evaluating the efficacy of SMS spam detection on android , 2013, SPSM '13.
[8] Heshaam Faili,et al. A Supervised Approach for Reconstructing Thread Structure in Comments on Blogs and Online News Agencies (El enfoque supervisado para reconstrucción de la estructura de hilos en comentarios en blogs y agencias de noticias en línea) , 2013, Computación y Sistemas.
[9] Semih Ergin,et al. The Impact of Feature Extraction and Selection on SMS Spam Filtering , 2013 .
[10] Owen Rambow,et al. Summarizing Email Threads , 2004, NAACL.
[11] Xin Liu,et al. Document clustering based on non-negative matrix factorization , 2003, SIGIR.
[12] Yan Jia,et al. Conversation Extraction in Dynamic Text Message Stream , 2008, J. Comput..
[13] Pablo Ariel Duboué. Extractive email thread summarization: Can we do better than He Said She Said? , 2012, INLG.
[14] Peter Kent,et al. Identifying clinical course patterns in SMS data using cluster analysis , 2012, Chiropractic & Manual Therapies.
[15] Aakanksha Sharaff,et al. Email thread identification using latent Dirichlet allocation and non-negative matrix factorization based clustering techniques , 2016, J. Inf. Sci..
[16] Qiang Yang,et al. Thread detection in dynamic text message streams , 2006, SIGIR.
[17] Ronen Feldman,et al. Book Reviews: The Text Mining Handbook: Advanced Approaches to Analyzing Unstructured Data by Ronen Feldman and James Sanger , 2008, CL.
[18] Qiang Yang,et al. SMS Spam Detection Using Noncontent Features , 2012, IEEE Intelligent Systems.
[19] Jimmy J. Lin,et al. Single-document and multi-document summarization techniques for email threads using sentence compression , 2008, Inf. Process. Manag..
[20] Gordon V. Cormack,et al. Email Spam Filtering: A Systematic Review , 2008, Found. Trends Inf. Retr..
[21] R. Parimala,et al. A Study on Analysis of SMS Classification Using Document Frequency Thresold , 2012 .
[22] Roger Wattenhofer,et al. BuzzTrack: topic detection and tracking in email , 2007, IUI '07.
[23] Sarah Jane Delany,et al. SMS spam filtering: Methods and data , 2012, Expert Syst. Appl..
[24] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[25] Tiago A. Almeida,et al. Towards SMS Spam Filtering: Results under a New Dataset , 2013 .
[26] Jun Ho Huh,et al. Hybrid spam filtering for mobile communication , 2009, Comput. Secur..
[27] J. A. Hartigan,et al. A k-means clustering algorithm , 1979 .
[28] Ian H. Witten,et al. Weka: Practical machine learning tools and techniques with Java implementations , 1999 .
[29] Pat Langley,et al. Estimating Continuous Distributions in Bayesian Classifiers , 1995, UAI.
[30] Vinayak S. Naik,et al. SMSAssassin: crowdsourcing driven mobile-based system for SMS spam filtering , 2011, HotMobile '11.
[31] Serkan Günal,et al. Detection of SMS spam messages on mobile phones , 2012, 2012 20th Signal Processing and Communications Applications Conference (SIU).
[32] Chih-Jen Lin,et al. LIBSVM: A library for support vector machines , 2011, TIST.
[33] Ting Wang,et al. Index-based Online Text Classification for SMS Spam Filtering , 2010, J. Comput..
[34] Micah Sherr,et al. $100,000 prize jackpot. call now!: identifying the pertinent features of SMS spam , 2012, SIGIR '12.
[35] Michael I. Jordan,et al. Latent Dirichlet Allocation , 2001, J. Mach. Learn. Res..
[36] Bernard Kerr. Thread Arcs: an email thread visualization , 2003, IEEE Symposium on Information Visualization 2003 (IEEE Cat. No.03TH8714).
[37] S. Ergin,et al. A novel framework for SMS spam filtering , 2012, 2012 International Symposium on Innovations in Intelligent Systems and Applications.
[38] Baruch B. Schwarz,et al. Online moderation of synchronous e-argumentation , 2010, Int. J. Comput. Support. Collab. Learn..
[39] Akebo Yamakami,et al. Contributions to the study of SMS spam filtering: new collection and results , 2011, DocEng '11.
[40] Gordon V. Cormack,et al. Spam filtering for short messages , 2007, CIKM '07.
[41] Stephen Wan,et al. Generating Overview Summaries of Ongoing Email Thread Discussions , 2004, COLING.
[42] Bahram Ranjbarian,et al. Attitude toward sms advertising and derived behavioral intension, an empirical study using TPB (SEM method) , 2014 .
[43] Sureswaran Ramadass,et al. Employing machine learning algorithms to detect unknown scanning and email worms , 2014, Int. Arab J. Inf. Technol..
[44] Muddassar Farooq,et al. Using evolutionary learning classifiers to do MobileSpam (SMS) filtering , 2011, GECCO '11.
[45] H. Sebastian Seung,et al. Learning the parts of objects by non-negative matrix factorization , 1999, Nature.
[46] Wagner Meira,et al. Neighborhoods and bands: an analysis of the origins of spam , 2015, Journal of Internet Services and Applications.
[47] Jen-Yuan Yeh,et al. Email Thread Reassembly Using Similarity Matching , 2006, CEAS.
[48] Akebo Yamakami,et al. On the Validity of a New SMS Spam Collection , 2012, 2012 11th International Conference on Machine Learning and Applications.
[49] Azadeh Shakery,et al. A learning approach for email conversation thread reconstruction , 2013, J. Inf. Sci..
[50] Kenney Ng,et al. Auto-grouping emails for faster e-discovery , 2011, Proc. VLDB Endow..
[51] Xia Wang,et al. Email Conversations Reconstruction Based on Messages Threading for Multi-person , 2008, 2008 International Workshop on Education Technology and Training & 2008 International Workshop on Geoscience and Remote Sensing.