Archive:: International Journal on Data Science and Technology:: Science Publishing Group

Volume 4, Issue 3, September 2018

Development of Longest-Match Based Stemmer for Texts of Wolaita Language

Girma Yohannis Bade, Hussien Seid

Issue: Volume 4, Issue 3, September 2018

Pages: 79-83

Received: 19 May 2018

Accepted: 5 July 2018

Published: 30 July 2018

DOI: 10.11648/j.ijdst.20180403.11

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Abstract: This research presents design, experiment and development of longest-match based Stemmer for Wolaita texts. The objective of this paper is to conflate the variants of Wolaita text words into its stem with better accuracy, using Longest-Match based approach. To help the researcher how to compile the possible combination of suffixes, the deep analysi... Show More

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The New Progress of Motive Target Defense Technology

Tan Tiantian, Wang Baosheng, Wang XiaoFeng, Cai Guilin, Luo Yuebin, Xiang Zheng

Issue: Volume 4, Issue 3, September 2018

Pages: 84-92

Received: 19 May 2018

Accepted: 1 July 2018

Published: 16 August 2018

DOI: 10.11648/j.ijdst.20180403.12

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Abstract: The concept of moving target defense (MTD) is an excellent solution proposed in USA to make the defender become dominant player while the defender is the disadvantage one in the game of defender and attacker. Focus on summarized the attack surface characteristic and functional connotation of moving target defense, according to the hierarchy in the ... Show More

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Student Dissertation Database Management System: IAMTECH Sierra Leone as a Case Study

Ibrahim Abdulai Sawaneh, Emmanuel Cole, Joshua Hamid Koroma, Joseph Abass Mike Kamara, Ibrahim Sankoh, Mohamed Sallieu Sesay, Abu Koroma

Issue: Volume 4, Issue 3, September 2018

Pages: 93-99

Received: 9 September 2018

Accepted: 25 September 2018

Published: 25 October 2018

DOI: 10.11648/j.ijdst.20180403.13

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Abstract: As a big data technological innovation emerges due to man's continuous use of data, it has prompted an immediate attention that will provide necessary solutions to cope with the current trend of data usability. Universities and colleges process large datasets in trillions of bytes to the extent that the traditional filling system can no longer hand... Show More

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Analysis and Prediction of Urban Traffic Congestion Based on Big Data

Zhenhua Wang, Yangsen Yu, Dangchen Ju

Issue: Volume 4, Issue 3, September 2018

Pages: 100-105

Received: 28 September 2018

Accepted: 10 October 2018

Published: 30 October 2018

DOI: 10.11648/j.ijdst.20180403.14

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Abstract: With the rapid development of big data technology, its application has become more and more extensive. The application of big data technology in intelligent transportation systems is the best way to solve traffic congestion in big cities. The paper analyses in detail the main causes of traffic congestion in big cities and the classification and eva... Show More

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