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General Information
    • ISSN: 2382-6185
    • Frequency: Quarterly (2015-2016); semiyearly (Since 2017)
    • DOI: 10.18178/IJKE
    • Editor-in-Chief: Prof. Chen-Huei Chou
    • Executive Editor: Ms. Nina Lee
    • Indexed by: Google Scholar, DOAJ, Engineering & Technology Digital Library, Crossref, ProQuest
    • E-mail: ijke@ejournal.net
Editor-in-chief
Prof. Chen-Huei Chou
College of Charleston, SC, USA
It is my honor to be the editor-in-chief of IJKE. I will do my best to help develop this journal better.
IJKE 2015 Vol.1(3): 214-218 ISSN: 2382-6185
doi: 10.18178/ijke.2015.1.3.037

NYSOL: A User-Centric Framework for Knowledge Discovery in Big Data

Stephane Cheung, Masakazu Nakamoto, and Yukinobu Hamuro
Abstract—NYSOL is an integrated framework of knowledge discovery leveraged by a host of data processing and data mining tools, which is underpinned by innovative research activities. Our framework is designed for end-users to integrate the process of managing large-scale information assets and knowledge discovery on one platform to improve interoperability between processes. The fundamental principle of the framework is derived from direct processing of text-based data by a set of user customizable commands for data management, data processing, and data analysis, which greatly simplifies the software architecture. The NYSOL framework facilitates the knowledge discovery process in an efficient manner for novice and expert users. This paper discusses the historical development of NYSOL rooting from basic data processing commands at command line, to the recent growth of the NYSOL software ecosystem to extend additional components for data mining based on efficient machine learning algorithms. Initial experiments on NYSOL’s GGP large-scale information processing architecture with NYSOL distributed file system (NDFS) are also presented. Observed performance of GGP demonstrates reduced overhead for inter-processing time and improvements in overall processing time.

Index Terms—Big data, data mining, distributed processing, information processing, knowledge discovery.

Stephane Cheung and Masakazu Nakamoto are with JST ERATO Minato Discrete Structure Manipulation System Project, Japan. They are now with Kwansei Gakuin University, Japan (e-mail: stephane@erato.ist.hokudai.ac.jp, nain0606@gmail.com).
Yukinobu Hamuro is with Kwansei Gakuin University, Japan (e-mail: hamuro@kwansei.ac.jp).

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Cite: Stephane Cheung, Masakazu Nakamoto, and Yukinobu Hamuro, "NYSOL: A User-Centric Framework for Knowledge Discovery in Big Data," International Journal of Knowledge Engineering vol. 1, no. 3, pp. 214-218, 2015.

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E-mail: ijke@ejournal.net