Search Results - "Uddin, Muhammad Fahim"

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  1. 1

    Proposing Enhanced Feature Engineering and a Selection Model for Machine Learning Processes by Uddin, Muhammad, Lee, Jeongkyu, Rizvi, Syed, Hamada, Samir

    Published in Applied sciences (01-04-2018)
    “…[...]in the line with the latest progress and related study (See Section 2), the work proposed in this paper uses ML and mathematical techniques, such as…”
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    Journal Article
  2. 2

    Proposing Logical Table Constructs for Enhanced Machine Learning Process by Uddin, Muhammad Fahim, Rizvi, Syed, Razaque, Abdul

    Published in IEEE access (01-01-2018)
    “…Machine learning (ML) has shown enormous potential in various domains with the wide variations of underlying data types. Because of the miscellany in the data…”
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    Journal Article
  3. 3

    An Enhanced Machine Learning Approach to Identify Noise and Detect Relevant Structures for Predictive Modeling by Uddin, Muhammad Fahim

    “…The era of big data and social networking platforms have provided great repositories of the data for mining useful information for the real-world industry…”
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    Conference Proceeding
  4. 4

    Proposing stochastic probability-based math model and algorithms utilizing social networking and academic data for good fit students prediction by Uddin, Muhammad Fahim, Lee, Jeongkyu

    Published in Social network analysis and mining (01-12-2017)
    “…The research progress presented in this paper comes under the areas of data science. The authors propose enhanced machine learning (supervised learning)…”
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    Journal Article
  5. 5

    Addressing Accuracy Paradox Using Enhanched Weighted Performance Metric in Machine Learning by Uddin, Muhammad Fahim

    “…Accuracy metric has become a gold standard for measuring various models and systems. However, the latest development and research have shown its limitations,…”
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    Conference Proceeding
  6. 6

    A Proposed Good Fit Job Candidate Algorithm (GFC-A) Utilizing Big Data and Career Data by Uddin, Muhammad Fahim

    “…Finding an ideal job in today's industry and economy is a challenge. Achieving an ideal career has become a dream for many. Most of us end up in jobs that we…”
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    Conference Proceeding
  7. 7

    Enhanced Machine Learning Engine Engineering Using Innovative Blending, Tuning, and Feature Optimization by Uddin, Muhammad Fahim

    Published 01-01-2018
    “…Investigated into and motivated by Ensemble Machine Learning (ML) techniques, this thesis contributes to addressing performance, consistency, and integrity…”
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    Dissertation
  8. 8

    Noise Removal and Structured Data Detection to improve search for personality features by Uddin, Muhammad Fahim

    “…This paper discusses part one of the main work in field of data science, mining and analytics. Family of algorithms is developed to predict the educational…”
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    Conference Proceeding
  9. 9

    A framework to identify educational relevance in social networking posts by Uddin, Muhammad Fahim

    “…Social Networking Sites (SNS) have facilitated and promoted various ways by which end users can exhibit their daily life activities, personality traits,…”
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    Conference Proceeding
  10. 10

    HemiPhysioData - A SmartWatch App and Methodolgy to collect sensor data of Upper Limbs by ur Rehman, Moez, Uddin, Muhammad Fahim, Mujahid, Mohammad Ahmad, Kamal, Tauseef

    “…Consumer smartwatches come with various sensors that provide opportunities for collecting data of daily physical activities and upper limb range of motion. The…”
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    Conference Proceeding
  11. 11

    Predicting good fit students by correlating relevant personality traits with academic/career data by Uddin, Muhammad Fahim, Jeongkyu Lee

    “…This paper discusses part of the main work in field of data science, mining and analytics. Family of algorithms is developed to predict the educational…”
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    Conference Proceeding
  12. 12

    Seven V's of Big Data understanding Big Data to extract value by Ali-ud-din Khan, M., Uddin, Muhammad Fahim, Gupta, Navarun

    “…Big Data has shown lot of potential in real world industry and research community. We support the power and potential of it in solving real world problems…”
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    Conference Proceeding
  13. 13

    Recommender System Framework for Academic Choices: Personality Based Recommendation Engine (PBRE) by Uddin, Muhammad Fahim, Banerjee, Soumita, Jeongkyu Lee

    “…A tremendous growth and progress has shown the potential of big data (i.e structured, unstructured and semi-structured) to extract valuable information and do…”
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    Conference Proceeding