This workshop welcomes submissions from both researchers and industry practitioners in HCM. Full paper submissions (maximum 8 pages) are solicited in the form of research papers which propose new techniques and advances using data mining techniques for HCM, as well as industry papers that describe practical applications and system innovations in HCM application areas. Short papers (maximum 6 pages) describing case studies or works-in-progress are also welcome.
All submitted papers must follow the IEEEE 2-column formatting style for IEEE ICDM proceedings and must conform to the IEEE ICDM 2017 triple blind (authors must not mention their names and affiliations and not use identifying information in the text of the paper. Bibliographies must be referenced to preserve anonymity.) submission guidelines available at the conference webpage. Papers should be submitted via Cyberchair.
DSHCM chairs have finalized an agreement with the Editors-in-Chief of SpringerOpen Data Science and Engineering journal to publish a special issue with a subset of high-quality accepted papers in DSHCM. Although this is an open access journal there is no charge for the authors of accepted papers to publish their work in this journal. More information about the special issue will be available soon.