Data Science for Big Data

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SCOPE TOPICS SUBMISSION DATE CONTACT

Special

Session on

"Data Science

for Big Data"

in IEEE SMC 2014

Special Session on "Data Science for Big Data"
http://www2.ipcku.kansai-u.ac.jp/~yada/conf/smc14/
in the IEEE SMC conference 2014
(http://smc2014.org/).
5-8 October, 2014, San Diegol,CA,USA.

SCOPE

This special session focuses on Data Science and Big Data which are two of the hottest research areas in computer science and business. Big Data is a resource which creates added value by using a data science approach leading to significant innovations. We want to attract researchers and business people whose expertise is related to Big Data and Data Science, and encourage the sharing of information.


TOPICS
Technical issues include (but not limited to)
  • Design
-social and organizational design
-system design
-network design
-product design
-servise design
-inovation and organizational change
  • Marketing
-marketing science
-consumer behavior
-retailing and pricing
-advertising
-customer relationship management
-brand management
-inovation
  • Data Mining
-machine learning algorithms and methods
-text and semi-structured data mining
-pattern recognition
-knowledge representation
-statistics and probability
SUBMISSION

Please see the website of SMC 2014.
http://smc2014.org/

Special Sessions provide a focused discussion of new or innovative topics.Special session organizers
collect at least five papers,download the special session proposal template from the SMC2014 website,
and submit the completed proposal to the Special Sessions Chair

IMPORTANT DATE
Feb 15, 2014:
- Deadline for submission of proposals for Special Sessions.
March 15, 2014:
- Acceptance/Rejection notification of proposals for special sessions.
April 7, 2014 → April 21, 2014:
- Deadline for submission of full-length papers for Regular Sessions and Special Sessions

SPONSOR
Data Mining Laboratory in Kansai University


CONTACT US
Session Chair:
Yada, Katsutoshi (Kansai University, Japan)

[Contact Person]
Katsutoshi Yada, Ph.D.
Professor of Management Information System
Data Mining Laboratory, Kansai University.
OSAKA, 564-8680, JAPAN.
http://www2.ipcku.kansai-u.ac.jp/~yada/english/

[Contact email for this session]
yadalab.conf@gmail.com