American Journal of Data Mining and Knowledge Discovery

Archive

Volume 4, Issue 1, June 2019

  • Multi-Agent Based Diagnostic Model for Breast Tumour Classification

    Yusuf Musa Malgwi, Gregory Maksha Wajiga, Etemi Joshua Garba

    Issue: Volume 4, Issue 1, June 2019
    Pages: 1-7
    Received: 5 February 2019
    Accepted: 14 March 2019
    Published: 10 April 2019
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    Abstract: Breast cancer is one of the most hazardous of all types of cancer affecting mainly women. It is the second leading cause of death in Nigerian women. It is difficult to classify breast tumour. The diagnosis of breast cancer on patients in hospitals and clinics is highly subjective and it is reliant on the physician’s expertise. This may often lead t... Show More
  • Level of Obesity and Socioeconomic Factors of a Group of Adult People of Bangladesh: A Factor Analysis Approach

    Bhuyan Keshab Chandra, Fardus Jannatul

    Issue: Volume 4, Issue 1, June 2019
    Pages: 8-14
    Received: 5 December 2018
    Accepted: 21 March 2019
    Published: 13 April 2019
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    Abstract: The present study was based on data collected from 900 respondents of both urban and rural areas of Bangladesh. Among them 44.3 percent were overweight and obese. Majority (70.6%) were diabetic patients. With the increase in age significant increase in prevalence rate of obesity was observed. Higher prevalence rate was also observed among housewive... Show More
  • The Effect of Exchange Rates on Nigerians Currency and Projecting the Naira for the Year 2025

    Ledisi Giok Kabari, Osuo-Genseleke Macarthy

    Issue: Volume 4, Issue 1, June 2019
    Pages: 15-18
    Received: 2 March 2019
    Accepted: 2 April 2019
    Published: 26 April 2019
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    Abstract: Exchange rate instability is a good pointer for monitoring Nigerian currency and it has always been a key economic indicator to sustain Nigeria and her economic growth. Linear regression is a great statistical tool used to find, predict and also to assess whether there is an undeviating correlation and dependences between numerical variables. This ... Show More
  • Extermination of Obsolete Relationship Through KTMIN-JAK-MAXAM Algorithm in Confusion Mining

    Kittappa Thiagarajan, Jeyavel Kavitha, Karunakaran Sarukesi, Avudaiappan Maheshwari

    Issue: Volume 4, Issue 1, June 2019
    Pages: 19-23
    Received: 25 February 2019
    Accepted: 10 April 2019
    Published: 11 May 2019
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    Abstract: At the present time web contains many indistinguishable documents. Much effort made towards in investigates mechanism with identical detection algorithms, still the retrieved web documents with outmodedlink. In this proposed system, we are successfully identifying and minimize the redundant information and like link in web documents. We introduce t... Show More
  • Application of Fuzzy Clustering Methodology for Garment Sizing

    Adepeju Abimbola Opaleye, Adekunle Kolawole, Oliver Ekepre Charles-Owaba

    Issue: Volume 4, Issue 1, June 2019
    Pages: 24-31
    Received: 16 April 2019
    Accepted: 28 May 2019
    Published: 12 June 2019
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    Abstract: With the growing demand for Ready-To-Wear outfits especially in African textile prints, the currently used European, American and Asian garment sizing systems seems unsuitable for the Nigerian garment industry where customer’s choose clothing item not only due to fit in terms of body measurements but also the dress culture, style, preference and so... Show More
  • A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence

    Gholamreza Soleimany, Masoud Abessi

    Issue: Volume 4, Issue 1, June 2019
    Pages: 32-45
    Received: 3 May 2019
    Accepted: 3 June 2019
    Published: 20 June 2019
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    Abstract: In this research, a new similarity measurement method that named Developed Longest Common Subsequence (DLCSS) is suggested for time series data mining. The main idea of the DLCSS is using the logic of the Longest Common Subsequence (LCSS) method and the concept of similarity in time series data. In most studies related to time series data mining, r... Show More
  • Remittances, Poverty and Welfare: Evidence from Cumilla, Bangladesh

    Bezon Kumar

    Issue: Volume 4, Issue 1, June 2019
    Pages: 46-52
    Received: 11 April 2019
    Accepted: 5 June 2019
    Published: 24 June 2019
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    Abstract: International remittance is now one of talking issues around the world as it has been playing a vital role in socio-economic development of the developing countries like Bangladesh since last few decades. Thus, the present study explores the impact of international remittances on household poverty and welfare in Bangladesh. To achieve this objectiv... Show More
  • Extending the Queue Question to Customer Purchase Rate to Predict the Probability of Customer Inactive

    Hui-Hsin Huang

    Issue: Volume 4, Issue 1, June 2019
    Pages: 53-56
    Received: 17 April 2019
    Accepted: 31 May 2019
    Published: 24 June 2019
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    Abstract: In the rapidly changing market, there is a never-ending sequence of marketing actions and competitive reactions. Customer may consume much volume to stockpile more than they need when the price promotion or some benefit that retail gives. Thus this paper explores the customer purchase rate, the speed of product consumption and the inactive probabil... Show More