42 research outputs found
The significance of anti-plagiarism in modern day authorship
No full textPlagiarism is the act of appropriating the exact wording of another author without attribution. Plagiarism takes place in four forms – Direct, Mosaic, unintentional and self-plagiarism. The internet has drastically changed the face of plagiarism. It has made all the steps of the plagiarism process – locating material, copying it and presenting it to audience- easier as well as its detection. The factors that contribute to plagiarism include the Publish or Perish' syndrome, Personal ambition, Vanity and Financial pressure. All of these breed Intellectual dishonesty, falsification of the obtained data, fabrication of data, fragmented publication and self-publishing. In order to promote anti-plagiarism institutions should have units for monitoring research and development for their quality. Institutions should set policies and take responsibility for integrity of research reporting. This is particularly important for boosting potentials of novice researchers. This in turn ensures the quality of education most especially in developing countriesKeywords: Plagiarism, self-plagiarism, plagiarism process, research integrity, intellectual dishonest
On the Origins of Advance Fee Fraud Electronic Mails: A Technical Investigation Using Internet Protocol Address Tracers
No full textOne issue that is concerning to the web security community is the correct identification of the origins of advance fee fraud mails. This has serious implications for directing concerted efforts towards mitigating the malaise in the right direction. Although previous research (Cuckier et al, 2007, Gbenga, 2007; Igwe, 2007; Progame, 2007) opined that these mails originate mainly from Nigeria and other West African Countries, research is warranted using available tracking tools to validate previously held notions about the issue of advance fee e-fraud mails. We harvested in real-time aggregated advance fraud e-mails over a two year period using the sinkhole aggregation methodology as proposed by Abhinav et al (2008), Using freeware e-mail and internet protocol address tracers, we obtained results that deviates from the generally held believes about the origins of advance fee fraud e-mails. Our findings have implications for research on spam filtering and by extension web security
Implementing a Benchmarking Model for Assessing Internet Users’ Complaints in University of Ibadan, Nigeria
No full textThe Internet is the most important research tool in a university, research being a major activity. It is therefore important to capture users’ satisfaction of the Internet services of a university. This work seeks to improve the performance of the Internet as a research tool by developing a benchmar king model of users’ complaints using University of Ibadan as a case study. Python Natural Language Process (NLP) technique was used to analyse users’ complaints while tokenization, stemming and stop words were used to extract keywords. The identified pro blems from the complaints benchmarking were classified into 32 groups which are clustered into four separate unit which are: “No signals”, “weak signals”, “physical problems” and “users related’ problems. The user related problems had the highest count, fu rther broken into, “Software problems”, “Hardware problems” and “Network problems”. The study revealed that users’ problems have the highest constraint within the university network . A database was created to capture and store user network complaint which was analysed using natural language processing algorithm . Similar complaints were matched with solutions, in order to improve on users’ satisfaction while using the Internet as a research tool as well as to facilitate the work of network administrators in decision making
Representation of knowledge resource in the context of economic intelligence systems
No full textInternational audienceKnowledge representation is an essential criterion to capitalization of knowledge in organizations. There is need for organizations to employ strategic methods to ensure optimal innovation and effective decision making. Thus, Economic Intelligence proffers strategy to facilitate effective decision making through collection, treatment and use of relevant information for economic actors in decision making process. There are knowledge and information on actors and from required activities respectively that need be capitalized in order to aid resolution of related future decision problems. It is imperative to establish a system of organization, representation, storage and transmission of these knowledge resources. The goal of this study is to provide adaptable framework and user-centered knowledge model for the representation and exploitation of knowledge in the decision making projects of the Economic Intelligence process by acquiring, organizing, integrating and capitalizing such knowledge in order to exploit it for re-use and sharing
Knowledge management in economic intelligence with reasoning on temporal attributes
No full textInternational audiencePeople have to make important decisions within a time frame. Hence, it is imperative to employ means or strategy to aid effective decision making. Consequently, Economic Intelligence (EI) has emerged as a field to aid strategic and timely decision making in an organization. In the course of attaining this goal: it is indispensable to be more optimistic towards provision for conservation of intellectual resource invested into the process of decision making. This intellectual resource is nothing else but the knowledge of the actors as well as that of the various processes for effecting decision making. Knowledge has been recognized as a strategic economic resource for enhancing productivity and a key for innovation in any organization or community. Thus, its adequate management with cognizance of its temporal properties is highly indispensable. Temporal properties of knowledge refer to the date and time (known as timestamp) such knowledge is created as well as the duration or interval between related knowledge. This paper focuses on the needs for a user-centered knowledge management approach as well as exploitation of associated temporal properties. Our perspective of knowledge is with respect to decision-problems projects in EI. Our hypothesis is that the possibility of reasoning about temporal properties in exploitation of knowledge in EI projects should foster timely decision making through generation of useful inferences from available and reusable knowledge for a new project
Holistic Approach to Big Data Definition using Analysis of Facts
No full textBig data has become a concern of science, industry, business, and academics, thus it is no more a buzzword but an emerging technology as viewed by researchers from different perspectives. Thus, different perspectives produced different definitions, of which none of them fully described big data. This research analysed some profound definitions based on discovered facts about big data. The facts are its characteristics, its technology, mode of transfer, its analysis, its infrastructure and security. Thus, a new definition was proposed which captures the basic facts about big data. Big data has its characteristics as foundations, and the rest facts as the pillars. These facts reflect in-depth meaning and understanding of big data to science, industry, business and academics
