MS-Tu-D-38
Mining and Analytics for Big Data

Date: August 11
Time: 13:30--15:30
Room: 302A

(Note: Click title to show the abstract.)

Organizer:
Wang, Fei (Univ. of Connecticut)

Abstract: We are in the era of big data. Data is everywhere, in every application, from healthcare to climate. The goal of this workshop is to bring together the researchers in the field of data mining and analytics, share their experience and opinions on the current status, challenges and future directions of big data mining and analytics. We will invite four keynote speakers and the topic of their talks cover different aspects of big data mining and analytics, from theory to practice.


MS-Tu-D-38-1
13:30--14:00
Entity Linking with a Knowledge Base for Heterogeneous Data
Wang, Jianyong (Tsinghua Univ.)


MS-Tu-D-38-2
14:00--14:30
Data Analytics in Healthcare
Wang, Fei (Univ. of Connecticut)


MS-Tu-D-38-3
14:30--15:00
Non-convex optimization problem in machine learning and data mining
Zhang, Changshui (Tsinghua Univ.)


MS-Tu-D-38-4
15:00--15:30
Incremental Learning in Big Data era
Zhou, Zhi-Hua (Nanjing Univ.)

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Footnote:
Code: Type-Date-Time-Room No.
Type : IL=Invited Lecture, SL=Special Lectures, MS=Minisymposia, IM=Industrial Minisymposia, CP=Contributed Papers, PP=Posters
Date: Mo=Monday, Tu=Tuesday, We=Wednesday, Th=Thursday, Fr=Friday
Time : A=8:30-9:30, B=10:00-11:00, C=11:10-12:10, BC=10:00-12:10, D=13:30-15:30, E=16:00-18:00, F=19:00-20:00, G=12:10-13:30, H=15:30-16:00
Room No.: TBA