Joho Chishiki Gakkaishi
Online ISSN : 1881-7661
Print ISSN : 0917-1436
ISSN-L : 0917-1436
Search
Advanced search
OR
Browse
Search
Volume 23, Issue 4
Displaying 1-5 of 5 articles from this issue
Show all abstracts
    • |<
    • <
    • 1
    • >
    • >|
Special Issue:The 18th Information and Knowledge Forum "Big Data and Knowledge Discovery"
  • [title in Japanese]
    [in Japanese]
    2013 Volume 23 Issue 4 Pages 427
    Published: December 07, 2013
    Released on J-STAGE: February 07, 2014
    DOIhttps://doi.org/10.2964/jsik.23_427
    JOURNAL FREE ACCESS
    Download PDF (329K)
  • Big Data Landscape Analysis
    Akira Otsuki
    2013 Volume 23 Issue 4 Pages 429-441
    Published: December 07, 2013
    Released on J-STAGE: February 07, 2014
    DOIhttps://doi.org/10.2964/jsik.23_429
    JOURNAL FREE ACCESS
    Show abstractHide abstract
    　We think that there are infinite possibilities in the data’s. Further, It is expected that discover the new knowledge or contribute to society by effective analysis of the Big Data. Other hand, because the Big Data will generated real-time like SNS (Social Network Service) or sensor data, the technologies or methods about acquisition and analysis of the Big Data are become the trend now. In this paper, therefore we will describe about the method or technology of "Big Data Landscape Analysis" by through our study example after describe about the common technology or methods of the Big Data.
    View full abstract
    Download PDF (5909K)
  • Applied Research Concerning the Hotel Industry in Kyoto City Using Web Data
    H. TSUDA, M. TADA, T. TAMAMOTO, Y. ICHIFUJI, N. SONEHARA, H. TSUBAKI
    2013 Volume 23 Issue 4 Pages 442-451
    Published: December 07, 2013
    Released on J-STAGE: February 07, 2014
    DOIhttps://doi.org/10.2964/jsik.23_442
    JOURNAL FREE ACCESS
    Show abstractHide abstract
    　The objective of this study is to conduct research on information gathering and data analysis theory and methods to enable local governments as well as tourism associations, chambers of commerce, and the operators of hotels and other lodging facilities, to implement rational tourism policies, tourism vitalization, and business management based on data. In this study we estimated the occupancy rates of lodging facilities on a daily basis using hotel guestroom vacancy data and tourist information gathered from some websites and analyzed factors that contribute to lodging facility popularity. We chose as the analysis target the hotels in Kyoto City. Through the results of empirical analysis, we obtained new insights concerning the guestroom occupancy rates at hotels in Kyoto City and factors that contribute to hotel popularity.
    View full abstract
    Download PDF (4981K)
  • Big data in everyday life and 「お･も･て･な･し」(O･MO･TE･NA･SHI) and Corporate profits
    Tetsuya TOSHIMITSU
    2013 Volume 23 Issue 4 Pages 452-461
    Published: December 07, 2013
    Released on J-STAGE: February 07, 2014
    DOIhttps://doi.org/10.2964/jsik.23_452
    JOURNAL FREE ACCESS
    Show abstractHide abstract
    The word "Big data" can be heard from the television and the newspapers nowadays, and are made a term in daily life. A lot of services and functions to use the big data have come to be seen in daily life such as smart phones (multifunctional type cellular phone) and vending machines. Immediate big data is made from SNS (Social Networking Service), navigation, and Internet shopping used in daily life is made from the sensor that measures the environment, energy, and the state changes of things. This big data, which is made and collected in such an environment, is different from what the data has on business in property and content. By using those big data, we should change the idea of the profit creation and work, so that the profit of the enterprise will be improved. "Innovation" of big data innovation and an open innovation is "Reformation", and a new idea, and the action of "O･MO･TE･NA･SHI" generates the corporate profit.
    View full abstract
    Download PDF (3513K)
  • Possibility of social-media data utilization
    Kazushige HIROI
    2013 Volume 23 Issue 4 Pages 462-472
    Published: December 07, 2013
    Released on J-STAGE: February 07, 2014
    DOIhttps://doi.org/10.2964/jsik.23_462
    JOURNAL FREE ACCESS
    Show abstractHide abstract
    In recent years, positive practical use of big data is considered by many companies and various types of industries. In those considerations, since consumers' mindset (thinking and/or a sense of values, etc.) is much contained in social-media data, the expectation for practical use of this data is also growing. In this paper, we look down at the present condition related to social media usage, and describe the possibility of social-media data utilization. Especially, the possibility, merit, and subject of grasping "What" and "Why" about consumers' trend by fusion analysis with other business data is described. Moreover, a trend analysis and a solution are introduced as an example of these use-cases.
    View full abstract
    Download PDF (5389K)
    • |<
    • <
    • 1
    • >
    • >|
feedback
 Top