Now showing items 1-20 of 171

    • Active Learning with Clustering for Mining Big Data 

      Ibrahim, Md.; Masud, Salman; Rabby, Reza E (2019-05-28)
      Big data mining is become a key research issue nowadays. It's costly and also time-consuming to extract knowledge from big data. Big data is so big, it contains millions of data points that's why it's very difficult to ...
    • Active Learning with Clustering for Mining Big Data 

      Jahan, Sadia (2019-09-22)
      Active learning also known as an optimal experimental design, is a process for building a classifier or learning model with less number of training instances in the semi-supervised setting. It's a well-known approach ...
    • Acute Surgical BD 

      Islam, Md. Kamrul; Shohan, S.M.; Faysul, Tanjimul; Rumel, Tareq Hassan (United International University, 2018-07-17)
      Electronic Commerce is system of doing business through Online. A person sitting on his chair in front of a computer can entrance all the facilities of the Internet to buy the products or sell the products. Unlike ...
    • An Adaptive Ensemble Classifier for Mining Concept-Drifting Data Streams 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Zhang, Li; Hossain, Alamgir; Strachan, Rebecca; Sexton, Graham; Dahal, Keshav (Expert Systems with Applications, 2013-11-01)
      Traditional data mining techniques cannot be directly applied to the real-time data streaming environment. Existing mining classifiers therefore need to be updated frequently to adopt the changes in data streams. In this ...
    • Adaptive Intrusion Detection based on Boosting and Naïve Bayesian Classifier 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Rahman, Mohammad Zahidur (International Journal of Computer Applications, 2011-06-01)
      In this paper, we introduce a new learning algorithm for adaptive intrusion detection using boosting and naïve Bayesian classifier, which considers a series of classifiers and combines the votes of each individual classifier ...
    • amaderhatbazar.com 

      Faruk, Md. Omar (United International University, 2018-05-18)
      Technologies decreased our distance one to another. Before some years ago we saw message send and reached time. Today we can send a message with in second, of course we know many time need to reach. These contribution ...
    • Analysis of Tree in Computer-based Application 

      Sharif, Md. Kamal Ibne; Das, Abhijeet; Hyder, Nazmul; khan, Al Amin (United International University, 2018-10-24)
      The main target of our thesis “Analysis of Tree in Computer-based Application” was implemented some tree and some algorithm so that we can able to make some computer based applications. The applications will help you to ...
    • Application of Machine Learning Algorithms to Identify Recombination Spots 

      Ahmed, Sajid; Hassan, Mehedi; Ahmed, Bulbul; Ferdous, Jannatul (2019-09-24)
      Meiotic recombination is a mechanism by which a cell promotes correct segregation of homologous chromosomes and repair of DNA damages. But it does not occur randomly across the whole genome. Relatively high frequencies ...
    • Articulatory Feature Based Automatic Speech Recognition Using Neural Network 

      Ifrat, Kazi; Israt, Kazi; Saimun, Imran Hossain; Akter, Fahima (United International University, 2018-07-06)
      Many ASR systems based on hidden Markov model (HMM) have been developed over the last years. Most of these use mel frequency cepstral coefficient(MFCC) of the speech signal, that considers the time frequency distribution ...
    • Attacks classification in adaptive intrusion detection using decision tree 

      Rahman, Chowdhury Mofizur; Farid, Dewan Md; Harbi, Nouria; Bahri, Emna; Rahman, Mohammad Zahidur (World Academy of Science, Engineering and Technology, 2010-03-22)
      Recently, information security has become a key issue in information technology as the number of computer security breaches are exposed to an increasing number of security threats. A variety of intrusion detection systems ...
    • Attendance System for Multi-Shift Manufacturing Industries 

      Azam, Mohammad Ali (United International University, 2017-12-18)
      HR departments of many manufacturing industries in Bangladesh are reluctant to prepare a roaster for daily laborers. Usually a manufacturing industry runs multiple shifts for workers. Workers’ attendances are captured ...
    • Author Identification from Song Lyrics 

      Ontika, Nazmun Nisat (United International University, 2019-03-04)
      Machine Learning (ML) tools have been used extensively in a wide variety of domains recently. Due the enormous amount of data being produced, machine learning techniques are being heavily used to make sense of data & ...
    • An Automated Intelligent E-learning Approach for Ensuring Learning Outcomes 

      Chowdury, Hossain Ashik Mahmud (2018-02-27)
      E-learning is an innovative and effective way to perceive knowledge in the modern world. The web-based interactive system has become one of the most common needs in our generation. Thus E-learning has achieved enormous ...
    • Automatic Issue Tracking & Release Management System 

      Yusuf, Akib (United International University, 2019-01-27)
      Any kind of organization especially software company requires an issue tracking system & delivery channel requires a release management or delivery management system. In the issue tracking system they put all their issues ...
    • Bangla Automatic Phoneme Recognition 

      Shweta, Shrobana Barai; Parvin, Irine; Liza, Nasrin Jahan; Saida, Aziza Tun (United International University, 2018-05-27)
      Speech recognition is now known a most challenging problem. People are trying to use speech recognition in so many applications to make their work easier. In Bengali language there are so many varieties in pronunciation. ...
    • Bangla Content Categorization Using Text Based Supervised Learning Methods 

      Al Mostakim, Sadek; Ehsan, Faiza; Hasan, Syeda Mahdiea (2018-09)
      The widespread and increasing availability of text documents in electronic form increases the importance of using automatic methods to analyze the content of text documents. Specifically, there is a great development in ...
    • Bangla Sentence Correction Using Deep Neural Network Based Sequence to Sequence Learning 

      Islam, Sadidul; Sarkar, Mst. Farhana; Hussain, Towhid; Hasan, Md. Mehedi (2018-09)
      Development in deep neural networks in particular to natural language processing has motivated researchers to apply these techniques in solving challenging problems like machine translation, automatic grammar checking, ...
    • BANGLA SPELL CHECKER AND SUGGESTION GENERATOR 

      Saha, Sourav; Tabassum, Faria; Saha, Kowshik; Akter, Marjana (United International University, 2019-01-05)
      This thesis is mainly focused on finding out the misspelled words and providing the most optimized suggestion for Bengali words. The system that has been developed to make the path more ease of checking Bengali spelling ...
    • Big Data Mining in the Presence of Concept Drifting 

      Siraj, Tabassum; Jannat, Efrana; Rasul, Warafta; Chowdhury, Meher Afroz (2019-03-05)
      Concept drift in big data mining is an absolute, highly demanding research issue in this digital era. A concept in "concept drift" involved in the field of data mining (DM) and machine learning (ML) studies is referred ...