Goals and Objectives

The goals of the Section are to foster research in the fields of Data Mining and Statistical Learning and to aid in the dissemination of new tools and knowledge for these fields.

The principal objectives are to

  1. serve as the Association's focal point for Data Mining and Statistical Learning issues;
  2. build cooperative relationships on behalf of the Association with other organizations that have interests in these fields;
  3. encourage the use of Statistical Learning methods in Data Mining applications;
  4. create forums for presentation and discussion of research in these fields.

Functions

The Section will perform functions that serve the goals and objectives listed. These include, but are not limited to,

  1. sponsorship, including joint sponsorship with other organizations, of meetings, seminars and courses in the fields of Data Mining and Statistical Learning;
  2. planning, in cooperation with the Program committee of the Association, sessions on Data Mining and Statistical Learning at the Annual and/or Regional meetings of the Association;
  3. promotion of non-journal publications on Data Mining and Statistical Learning;
  4. service as a resource for public and private agencies seeking assistance in these fields of interest.

Conference Announcement: ISBIS 2014 and SLDM Meeting on Data Mining in Business and Industry

June 9-11, 2014 at Durham, North Carolina, USA

The ASA Section on Statistical Learning and Data Mining is pleased to co-host, with The International Society of Business and Industrial Statistics, the ISBIS 2014 and SLDM Meeting on Data Mining in Business and Industry. The conference will take place in Durham, NC, USA from June 9 to 11, 2014. The conference website is at http://www.stat.duke.edu/~banks/dcc/ and it includes instructions on how to propose an invited session or a poster, as well as information on lodging and registration.
SLDM Section Charter

Student Paper Competition - JSM 2014 (Boston, MA)

Due 06 January 2014

The Section on Statistical Learning and Data Mining (SLDM) of the American Statistical Association is sponsoring a student paper competition for the 2014 Joint Statistical Meetings. The paper might be an original methodological research or analysis of data (from various fields including but not limited to marketing, pharmaceutical, genomics, bioinformatics, imaging, defense, business, public health) that uses principles and methods in statistical learning and data mining. Read more here.