rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Neuro fuzzy inference model based on adaptability in egocentric emailing system environment
  name:
    name part: Nusratullah, Kajal
    role:
      role term: creator
    role:
      role term: author
  name:
    name part: International Islamic University Malaysia
    name part: Kulliyyah of Information and Communication Technology
  genre: Theses, IIUM local
  origin info:
    place:
      place term: my
    date issued: 2018
  language:
    language term: eng
  physical description:
    extent: xiv, 120 leaves : colour illustrations ; 30cm.
  abstract: Social networks are in the midst of a boom in terms of connecting and linking people. People are more active in this medium as compared to other mediums of communication, such as telephonic conversations or personal meetings. Conferring an estimate, Facebook holds 900,000,000 active users every month, while Twitter has 310,000,000 monthly unique visitors; meanwhile, about 90% of internet users are involved in the activity of sending and receiving emails via email communication. Hence, on social networks, people are more active in linking, updating their profiles and sharing their interests because these sets of actions take a few minutes and most are free of charge. This research has focused one of the domains of social network that is the egocentric email communication. An egocentric email communication is an online repository where people keep the very rich profile of their own. Profiles are a contextual outline of a person that include who you are, where you are, what your personal and professional interests are, and with whom you are associated or connected. Such contextual information helps to investigate more about a person. This research aims to prove that “A change in human context is detectable by analyzing in real-time his/her egocentric email communication”. It identifies the features of an egocentric email communication that interpret the contextual outline of an individual. Also, it tried to visualize the change with different level of intensity in a clear and precise way. In order to verify the objectives two egocentric email networks are considered as the primary datasets. The main modules of the proposed research are longitudinal analysis and visualization of networks, extraction of suitable features to detect a possible change in the network and finally classification to identify the intensity of change. In the first phase, email data is considered and is transformed to get contextual outlines of ego. The second phase consists of extraction of novel…
  note: by Kajal Nusratullah
  note: Abstracts in English and Arabic.
  note: "A thesis submitted in fulfilment of the requirement for the degree of Doctor of Philosophy in Computer Science." --On title page.
  note: Thesis (Ph.D)--International Islamic University Malaysia, 2019.
  note: Includes bibliographical references (leaves 115-120).
  subject:
    geographic code: a-my---
  subject:
    topic: Neural networks (Computer science)
  subject:
    topic: Electronic mail systems
  subject:
    topic: Online social networks
  classification: QA76.87
  identifier: http://studentrepo.iium.edu.my/handle/123456789/9704
  record info:
    record content source: UIAM
    record creation date: 190218
    language of cataloging:
      language term: eng