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Browsing Articles by Subject "Data mining"

Browsing Articles by Subject "Data mining"

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  • Anticipation of the Significance of Risk Factors in Cervical Cancer for Low Incoming Country: Bangladesh Perspective 
    Asaduzzaman, Sayed; Ahmed, Kawsar; Chakraborty, Setu; Hossain, Md. Goljar; Bashar, Mamun Ibn; Bhuiyan, Touhid; Chandan, Subrata Sarker (Researchgate, 2015-11)
    Cervical cancer is the second alarming cancer for women of low incoming countries like Bangladesh. In future it would be the main cause of death of Bangladeshi women by caner. To find the significant factors, association ...
  • Betel Nut Addiction Detection Using Machine Learning 
    Khatun, Johura; Azad, Tamanna; Seaum, Samin Yeasar; Jabiullah, Md. Ismail; Habib, Md. Tarek (IEEE, 2020-11)
    Betel nut addiction has become a psychoactive addiction to hundreds and millions of people around the world. Among the four common hallucinatory addictions in the world, betel nut addiction is one of them after tobacco, ...
  • Career Prediction with Analysis of Influential Factors Using Data Mining in the Context of Bangladesh 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Basri, Rabeya; Zulfiker, Md. Sabab (Springer, 2020-12-17)
    Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the ...
  • Career Prediction with Analysis of Influential Factors Using Data Mining In the Context of Bangladesh 
    Biswas, Al Amin; Majumder, Anup; Mia, Md. Jueal; Basri, Rabeya; Zulfiker, Md. Sabab (Scopus, 2021)
    Nowadays, the job market has become more competitive due to the advancement of higher educations. In Bangladesh, an individual selects three types of careers namely Government Job, Private Job, and Business after the ...
  • Common Human Diseases Prediction Using Machine Learning Based on Survey Data 
    Nahian, Jabir Al; Masum, Abu Kaisar Mohammad; Abujar, Sheikh; Mia, Md. Jueal (Scopus, 22-12-01)
    In this era, the moment has arrived to move away from disease as the primary emphasis of medical treatment. Although impressive, the multiple techniques that have been developed to detect the diseases. ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Soft Computing Techniques and Applications. Advances in Intelligent Systems and Computing, Springer, 2020-11-28)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • Crime Rate Prediction Using Machine Learning and Data Mining 
    Mahmud, Sakib; Nuha, Musfika; Sattar, Abdus (Scopus, 2021)
    Analysis of crime is a methodological approach to the identification and assessment of criminal patterns and trends. In a number of respects cost our community profoundly. We have to go many places regularly for our daily ...
  • Data mining and Region Prediction Based on Crime Using Random Forest 
    Raza, Dewan Mamun; Victor, Debasish Bhattacharjee (International Conference on Artificial Intelligence and Smart Systems (ICAIS), IEEE, 2021-04-12)
    Crime is one of the most critical problems of the today's world which affects the normal life of the society and it breaks the social, and economical flow of a country. The scenario is the same for Bangladesh. This paper ...
  • A Data Science Approach to Predict the University Students at Risk of Semester Dropout 
    Rafiq, Md Abdur; Rabbi, Abir Mahamud; Ahammad, Rasel (5th International Conference on Trends in Electronics and Informatics, ICOEI 2021; SCAD College of Engineering and Technology Tirunelveli, IEEE, 2021-06-21)
    In Bangladeshi institutions, the likelihood of student semester dropout has increased in recent years. A large number of university students, particularly in science background disciplines, are enrolled in a variety of ...
  • A Decision Support System of Selecting Groups (Science/ Business Studies/ Humanities) for Secondary School Students in Bangladesh 
    Hasan, Rifat; Ovy, Md. Khairul Alam; Nishi, Ifrat Zahan; Hakim, Md. Azizul; Hafiz, Rubaiya (IEEE, 2020-10-15)
    As education is the only way to turn a person into human resource, every country tries to give her citizens proper scope of bringing out their inner ability by offering the appropriate education. According to the education ...
  • Design Protein-protein Interaction Network and Protein-drug Interaction Network for Common Cancer Diseases 
    Hasan, Md. Rakibul; Paul, Bikash Kumar; Ahmed, Kawsar; Bhuyian, Touhid (Informatics in Medicine Unlocked, Elsevier, 2020-03-01)
    Background In terms of genomics, bioinformatics conceptualizes biological processes and utilizes computer science to generate knowledge from biological data. Bioinformatics is multidisciplinary in that it merges the ...
  • Development of Score Based Smart Risk Prediction Tool for Detection of Type-1 Diabetes 
    Al Masud, Fuyad; Hosen, Md. Sazib; Ahmed, Arzo; Ibn Bashar, Mamun; Muyeed, Abdul; Jahan, Sohely; Paul, Bikash Kumar; Ahmed, Kawsar (Biointerface Research in Applied Chemistry, 2021)
    In this study, a smart risk prediction tool has been demonstrated along with the algorithm, which works as a backend of the tool to detect Type-1 Diabetes. The algorithm was contrived by the weight age values that are ...
  • A Dynamic K-means clustering for Data Mining 
    Hossain, Md. Zakir; Akhtar, Md.Nasim; Ahmad, R.B.; Rahman, Mostafijur (Scopus, 2020)
    Data mining is the process of finding structure of data from large data sets. With this process, the decision makers can make a particular decision for further development of the real-world problems. Several data clustering ...
  • eExpense 
    Sabab, Shahed A.; Islam, Sadman Saumik; Hossain, Monir (5th International Conference on Electrical Engineering and Information and Communication Technology, IEEE, 2019)
    Tracking regular expense is a key factor to maintain a budget. People often track expense using pen and paper method or take notes in a mobile phone or a computer. These processes of storing expense require further ...
  • A Hybrid GRU-CNN Feature Extraction Technique for Speaker Identification 
    Shihab, Md. Shazzad Hossain; Aditya, Shuvra; Setu, Jahangir Hossain; Imtiaz-Ud-Din, K. M.; Efat, Md. Iftekharul Alam (IEEE, 2020-12)
    Speaker identification with diversified voice clip across the globe is a crucial and challenging task, specially extracting vigorous and discriminative features. In this paper, we demonstrated an end-to-end speaker ...
  • Identification of Drug and Protein-Protein Interaction Network Among Stress and Depression: A Bioinformatics Approach 
    Basar, Md. Abul; Hosen, Md. Faruk; Paul, Bikash Kumar; Hasan, Md. Rakibul; Shamim, S.M.; Bhuyian, Touhid (Elsevier, 2023-01-18)
    The fields of data mining, computational biology, and statistics have been combined to form the massive research area of bioinformatics. In the areas of genetics, education, and healthcare, bioinformatics integrates the ...
  • The Impact of Corona Pandemic on the E-commerce Industry Using Data Mining 
    Nishat Khan, Faria; Uddin, Syed Rakesh; Shampod, Yeasin Arafat; Sattar, Abdus (5th International Conference on Computing Methodologies and Communication (ICCMC), IEEE, 2021-05-06)
    In this 21 st century, the world got introduced to a new respiratory system attacking virus called “Coronavirus”, causing a disease called "Covid-19". As this virus is very contagious and spread through physical contact ...
  • Machine Learning to Reveal an Astute Risk Predictive Framework for Gynecologic Cancer and Its Impact on Women Psychology 
    Asaduzzaman, Sayed; Ahmed, Md. Raihan; Rehana, Hasin; Chakraborty, Setu; Islam, Md. Shariful; Bhuiyan, Touhid (BMC Bioinformatics, Springer, 2021-04-24)
    Background In this research, an astute system has been developed by using machine learning and data mining approach to predict the risk level of cervical and ovarian cancer in association to stress. Results For functioning ...
  • Medicine Prediction Based on Doctor’s Degree 
    Arman, Md Shohel; Sarker, Kaushik; Shakir, Asif Khan; Hossain, Shah Fahad; Hasan, Afia (Daffodil International University, 2022-05-05)
    The effective use of information mining in profoundly unmistakable fields like e - business, promoting and retail has prompted its application in different enterprises. There is an absence of powerful ...
  • MKRF Stacking-Voting 
    Bijoy, Md. Hasan Imam; Pramanik, Anik; Rahman, Md. Sadekur; Hasan, Mehedi; Akhi, Sumiya Alam; Rahman, Md. Mahbubur (Daffodil International University, 2022-07-19)
    Data mining is most efficient when used deliberately to achieve a corporate goal, answer business or research questions, or contribute to a problem-solving solution. Data mining aids in the accurate prediction of outcomes, ...

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