• Data mining driven computational analysis of stock markets, methods and strategies 

      Lai, Anthony; Phang, Shaoning; Holmes, Wayne (Academic Fora (Kuala Lumpur, Malaysia), 2015-12)
      The stock market is a complex, dynamic and non-linear environment. The prediction of any future market reaction is further complicated by huge amounts of often unstructured financial data and uncertainty due to the effects ...
    • ETL tools for data warehousing : an empirical study of open source Talend Studio versus Microsoft SSIS 

      Katragadda, Ranjith; Tirumala, Sreenivas Sremath; Nandigam, David (Institute of Electrical and Electronics Engineers (IEEE), 2015-01)
      Relational databases are bound to follow various database integrity rules and constraints that makes the reporting a time consuming process. Data Warehousing has evolved out of the desperate need for easy access to structured ...
    • Evaluation of statistical text normalisation techniques for Twitter 

      Sosamphan, P.; Liesaputra, Veronica; Yongchareon, Dr. Sira; Mohaghegh, Dr Mahsa (IC3K, 2016-11)
      One of the major challenges in the era of big data use is how to ‘clean’ the vast amount of data, particularly from micro-blog websites like Twitter. Twitter messages, called tweets, are commonly written in ill-forms, ...
    • A framework for evaluating anti spammer systems for Twitter 

      Ho, K.; Liesaputra, Veronica; Yongchareon, Dr. Sira; Mohaghegh, Dr Mahsa (Springer Verlag, 2017-10-20)
      Despite several benefits to modern communities and businesses, Twitter has attracted many spammers overwhelming legitimate users with unwanted and disruptive advertising and fake information. Detecting spammers is always ...
    • Human action recognition by conceptual features 

      Shamsipour, G.; Shanbehzadeh, J.; Sarrafzadeh, Hossein (Newswood and International Association of Engineers, 2017-03)
      Human action recognition is the process of labeling a video according to human behavior. This process requires a large set of labeled video and analyzing all the frames of a video. The consequence is high computation and ...
    • An intelligent student advising system using collaborative filtering 

      Ganeshan, Kathiravelu; Li, Xiaosong (Frontiers in Education Conference (FIE), 2015-10)
      We propose a web based intelligent student advising system using collaborative filtering, a technique commonly used in recommendation systems assuming that users with similar characteristics and behaviors will have similar ...
    • Large-scale image retrieval using local binary patterns and iterative quantization 

      Shakerdonyavi, M.; Shanbehzadeh, J.; Sarrafzadeh, Hossein (2015-11)
      Hashing algorithm is an efficient approximate searching algorithm for large-scale image retrieval. Learning binary code is a key step to improve its performance and it is still an ongoing challenge. The inputs of Hashing ...
    • Noise removal and binarization of scanned document images using clustering of features 

      Farahmand, Atena; Sarrafzadeh, Hossein; Shanbehzadeh, J. (Newswood and International Association of Engineers, 2017-03)
      Old documents are in printed form. Their archiving and retrieval is expensive according in terms of space requirement and physical search. One solution is to convert these documents into electronic form using scanners. The ...
    • A pattern recognition for group abnormal behaviors based on Markov Random Fields energy 

      Li, Zuojin; Chen, Liukui; Ren, Zhiyong; Tirumala, Sreenivas Sremath (Institute of Electrical and Electronics Engineers (IEEE), 2014-08)
      Group abnormal behaviors often occur abruptly under video surveillance, thus bringing serious consequences. How to recognize these behaviors correctly has always been the difficulty in research on intelligence video ...
    • A process mining technique using pattern recognition 

      Liesaputra, Veronica; Yongchareon, Dr. Sira; Chaisiri, Sivadon (Conference on Advanced Information Systems Engineering (CAiSE), 2015-06)
      Several works have proposed process mining techniques to discover process models from event logs. With the existing works, mined models can be built based on analyzing the relationship between any two events seen in event ...
    • Smart task orderings for active online multitask learning 

      Pang, Paul; An, Jianbei; Zhao, Jing; Li, Xiaosong; Ban, Tao; Inoue, Daisuke; Sarrafzadeh, Hossein (Society for Industrial and Applied Mathematics, Activity Group on Data Mining and Analytics, 2014-04-26)
      This paper promotes active oMTL (i.e., Online Multitask Learning with task selection) by proposing two smart task ordering approaches: QR-decomposition Ordering and Minimal-loss Ordering, in which the optimal sequence of ...
    • Vein pattern visualization through multiple mapping models and local parameter estimation for forensic investigation 

      Sharifzadeh, Hamid Reza; Zhang, Hengyi; Kong, Adams Wai-Kin (International Conference on Pattern Recognition (ICPR), 2014)
      Forensic investigation methods based on some human traits, including fingerprint, face, and palmprint, have been developed significantly, but some major aspects of particular crimes such as child pornography still lack of ...

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