Skip to main content

6 Result(s)

within Conference Paper Remove this filter **jun Ding Remove this filter English Remove this filter Data Mining and Knowledge Discovery Remove this filter Information Storage and Retrieval Remove this filter

and

  1. Chapter and Conference Paper

    Building and Exploring an Enterprise Knowledge Graph for Investment Analysis

    Full-fledged enterprise information can be a great weapon in investment analysis. However, enterprise information is scattered in different databases and websites. The information from a single source is incom...

    Tong Ruan, Lijuan Xue, Haofen Wang, Fanghuai Hu, Liang Zhao… in The Semantic Web – ISWC 2016 (2016)

    Download PDF (3684 KB) View Chapter

  2. No Access

    Chapter and Conference Paper

    An Efficient Webpage Classification Algorithm Based on LSH

    With the explosive growth of Internet information, it is more and more important to fetch real-time and related information. And it puts forward higher requirement on the speed of webpage classification which ...

    Junjun Liu, Haichun Sun, Zhijun Ding in Intelligent Computation in Big Data Era (2015)

  3. No Access

    Chapter and Conference Paper

    Mining Multiple Periods in Event Time Sequence

    The research of life pattern is a hot topic in the field of LBSN (Location Based Social Network). Periodic behavior is also a life pattern. In view of multiple periodic behaviors existed in time series, an alg...

    Bing Xu, Zhijun Ding, Hongzhong Chen in Advances in Services Computing (2015)

  4. No Access

    Chapter and Conference Paper

    A Method of User Recommendation in Social Networks Based on Trust Relationship and Topic Similarity

    In the research area of user recommendation in social network sites (SNS), there exist problems that some algorithms based on the structure of SNS are resulting in low quality recommendation results due to lac...

    Yufeng Ma, Zidan Yu, Jun Ding in Social Media Processing (2014)

  5. No Access

    Chapter and Conference Paper

    A Self-learning Clustering Algorithm Based on Clustering Coefficient

    This paper presents a novel clustering algorithm based on clustering coefficient. It includes two steps: First, k-nearest-neighbor method and correlation convergence are employed for a preliminary clustering. ...

    MingJie Zhong, ZhiJun Ding, HaiChun Sun… in Web Information Systems Engineering – WISE… (2014)

  6. No Access

    Chapter and Conference Paper

    Automatic Web Information Extraction Based on Rules

    Web Information Extraction is the initial step of effective web mining. In this article a few heuristic rules which describe the characteristics of the main content of web pages are summarized. The rules are c...

    Fanghuai Hu, Tong Ruan, Zhiqing Shao… in Web Information System Engineering – WISE … (2011)