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Knowledge Discovery from XML Documents

First International Workshop, KDXD 2006, Singapore, April 9, 2006. Proceedings

  • Richi Nayak
  • Mohammed J. Zaki
Conference proceedings KDXD 2006

Part of the Lecture Notes in Computer Science book series (LNCS, volume 3915)

Table of contents

  1. Front Matter
  2. Keynote Papers

  3. XML Data Mining Methods

    1. Laura Irina Rusu, Wenny Rahayu, David Taniar
      Pages 3-12
    2. Tong Wang, Da-Xin Liu, Xuan-Zuo Lin
      Pages 13-21
  4. XML Data Reasoning and Querying Methods

    1. Guija Choe, Young-Kwang Nam, Joseph Goguen, Guilian Wang
      Pages 54-63
    2. Nizamuddin Channa, Shanping Li
      Pages 74-84
    3. Fei Guo, Jianmin Wang, Zhihao Zhang, Deyi Li
      Pages 85-94
    4. Min-Jeong Kim, Hye-Kyeong Ko, SangKeun Lee
      Pages 95-104
  5. Back Matter

About these proceedings

Introduction

The KDXD 2006 (Knowledge Discovery from XML Documents) workshop is the ?rst international workshop running this year in conjunction with the 10th Paci?c-Asia Conference on Knowledge Discovery and Data Mining, PAKDD 2006. The workshop provided an important forum for the dissemination and exchange of new ideas and research related to XML data discovery and retrieval. The eXtensible Markup Language (XML) has become a standard language for data representation and exchange. With the continuous growth in XML data sources,theabilitytomanagecollectionsofXMLdocumentsanddiscoverkno- edge from them for decision support becomes increasingly important. Due to the inherent ?exibility ofXML, in both structure and semantics, inferring important knowledge from XML data is faced with new challenges as well as bene?ts. The objective of the workshop was to bring together researchers and practitioners to discuss all aspects of the emerging XML data management challenges. Thus, the topics of interest included, but were not limited to: XML data mining methods; XML data mining applications; XML data management emerging issues and challenges; XML in improving knowledge discovery process; and Benchmarks and mining performance using XML databases. The workshop received 26 submissions. We would like to thank all those who submittedtheirworktotheworkshopunderrelativelypressuringtimedeadlines. We selected ten high-quality full papers for discussion and presentation in the workshop and for inclusion in the proceedings after being peer-reviewed by at least three members of the Program Committee. Accepted papers were grouped in three sessions and allocated equal presentation time slots. The ?rst session was on XML data mining methods of classi?cation, clustering and association.

Keywords

HTML XML XML data mining classification data management database knowledge discovery machine learning ontology optimization schema matching semantics statistical data analysis support vector m watermarking

Editors and affiliations

  • Richi Nayak
    • 1
  • Mohammed J. Zaki
    • 2
  1. 1.Information TechnologyQueensland University of TechnologyBrisbaneAustralia
  2. 2.Computer Science DepartmentRensselaer Polytechnic InstituteUSA

Bibliographic information

  • DOI https://doi.org/10.1007/11730262
  • Copyright Information Springer-Verlag Berlin Heidelberg 2006
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Computer Science
  • Print ISBN 978-3-540-33180-3
  • Online ISBN 978-3-540-33181-0
  • Series Print ISSN 0302-9743
  • Series Online ISSN 1611-3349
  • Buy this book on publisher's site
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