Marti Hearst

Courses

数据挖掘研究院

F ′05	Search Engines: Technology, Society, and Business (SIMS 141/290-2)
S ′06, ′05, ′04,′03,′02,′01,′99:	User Interface Design and Development (SIMS 213)
F′05, S′04,S′02,F′00,S′98:	Information Visualization & Presentation (SIMS 247)
F ′04:	Applied Natural Language Processing (SIMS 290-2)
F ′02, ′01:	Foundations of Software Design (SIMS 255)
F ′00,′99,′98,′97:	Information Organization and Retrieval (SIMS 202)
F ′99:	Seminar on Text Data Mining (SIMS 296A-4)
F ′98:	Current Topics in Information Access (SIMS 296A-3)
F ′97:	Informavores (SIMS 298)

Research

数据挖掘实验室

Publications

数据挖掘实验室

Recent papers of interest: 数据挖掘研究院

• What is Text Mining?
• Finding the Flow in Web Site Search, Hearst, Elliott, English, Sinha, Swearingen, and Yee, Communications of the ACM, 45 (9), September 2002.
• Statistical Profiles of Highly-Rated Web Sites, Ivory and Hearst. In ACM CHI 2002, March 2002.
• The Descent of Hierarchy, and Selection in Relational Semantics, Rosario, Hearst, and Fillmore, ACL 2002.
• Untangling Text Data Mining, ACL′99.
• User Interfaces and Visualization, a textbook chapter in Modern Information Retrieval, edited by Ricardo Baeza-Yates and Berthier Ribeiro-Neto, Addison-Wesley Longman Publishing Company, 1999.

   

  数据挖掘研究院

数据挖掘研究院

Research Projects

  数据挖掘研究院

• BioText: BioText Data Mining

   

  数据挖掘研究院

• FLAMENCO: Dynamic Use of Metadata in Search Interfaces

    数据挖掘研究院

• Massive Online Social Interaction:

    数据挖掘研究院

  Studying online dating to better understand and improve computer-mediated communication.
• WebTANGO: Automating Web Site Usability Assessment

   

  数据挖掘研究院

    数据挖掘研究院

• Information Visualization: Tutorials and techniques

   

  数据挖掘研究院

   

  数据挖掘实验室

    数据挖掘实验室

Current Graduate Students:

  数据挖掘研究院

Andrew Fiore
Presley Nakov
Ariel Schwartz
Ping Yee

  数据挖掘研究院

Barbara Rosario(PhD 2005)
Cecilia Aragon (PhD 2004)
Gaurav Bhalotia (Masters 2003)
Melody Ivory (PhD 2002)
Ame Elliott (PhD 2002)
Mike Chen (Masters 2002)
Wanda Pratt (PhD 1999) (Unofficial advisor)

(See project pages for undergraduates and other researchers.)

Awards 数据挖掘研究院

I am a recipient of an IBM Faculty Award, an NSF Career Grant, a Hellman Faculty Fund Award, an Okawa Foundation Fellowship, and two Excellence in Teaching Awards.

数据挖掘研究院

Editorial Activities

Current editorial board positions: 数据挖掘实验室

ACM Transactions on Information Systems (TOIS)
ACM Transactions on Computer-Human Interaction (TOCHI)

Former editorial board positions:

Computational Linguistics, (the journal for the Association for Computational Linguistics)
IEEE Intelligent Systems
ACM SIGIR 99 program co-chair
Editor, Trends and Controversies feature, IEEE Intelligent Systems.

Program Co-Chair for:

HLT-NAACL′03
ACM SIGIR ′99
AAAI Spring Symposium on Machine Learning in Information Access, 1996
AAAI Fall Symposium on Improving Instruction of Artificial Intelligence, 1994 数据挖掘研究院

 

数据挖掘研究院

 

数据挖掘研究院

数据挖掘研究院

Dr. Marti Hearst is an associate professor in SIMS, the School of Information Management and Systems at UC Berkeley, with an affiliate appointment in the Computer Science Division. Her primary research interests are user interfaces and visualization for information retrieval, empirical computational linguistics, and text data mining. She received BA, MS, and PhD degrees in Computer Science from the University of California at Berkeley, and she was a Member of the Research Staff at Xerox PARC from 1994 to 1997. Prof. Hearst is on the editorial boards of ACM Transactions on Information Systems and ACM Transactions on Computer-Human Interaction and was formerly on the boards of Computational Linguistics and IEEE Intelligent Systems, and was the program co-chair of HLT-NAACL ′03 and SIGIR ′99. She has received an NSF CAREER award, an IBM Faculty Award, an Okawa Foundation Fellowship, and two student-initiated Excellence in Teaching awards.

Mailing address

  数据挖掘研究院

Prof. Marti Hearst
SIMS
102 South Hall
University of California, Berkeley
Berkeley, CA 94720-4600

office phone: 510-642-8016
office fax: 510-642-5814

How to do good research:
How to Build an Economic Model in your Spare Time by Hal Varian.


How to succeed in graduate school by Marie desJardins.
Part I Part II A shorter version. 数据挖掘研究院

How to advise university students: Advisor, Teacher, Role Model, Friend:
On being a Mentor to Students in Science and Engineering
Published by the National Academy Press.

数据挖掘研究院

How to be a pundit:
How to Make a Scene, Hal Varian, Jan 5, 2004.

数据挖掘实验室