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Gene Yan Ooi

dblp:219/9696 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2018
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Databases, data mining, and information retrieval
1 paper
Data mining · 50% Web and social media mining · 50%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining › statistical analysis
cohort analysis
0.312018
Cohort Analysis with Ease · SIGMOD Conference 2018
Web and social media mining
user behavior analysis
0.312018
Cohort Analysis with Ease · SIGMOD Conference 2018
YearPublicationVenuePosition
2018 Cohort Analysis with Ease
abstract
The tremendous volume of user behavior records generated in various domains provides data analysts new opportunities to mine valuable insights into user behavior. Cohort analysis, which aims to find user behavioral trends hidden in time series, is one of the most commonly used techniques. Since traditional database systems suffer from both operability and efficiency when processing cohort analysis queries, we proposed COHANA, a query processing system specialized for cohort analysis. In order to make COHANA easy-to-use, we present a comprehensive and powerful tool in this demo, covering the major use cases in cohort analysis with intuitive and accessible operations. Analysts can easily adapt COHANA to their own use with provided visualizations which can help verify their analysis assumptions and inconspicuous trends hidden in user behavior data.
Zhongle Xie, Qingchao Cai, Gene Yan Ooi, Weilong Huang, Beng Chin Ooi
SIGMOD Conference4