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EDBT 2026 Demo / reviewers in the wild / expert

Ganesh Thondikulam

dblp:128/8951 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2019
—ORCID · none

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

Artificial intelligence and machine learning · 1 · 1 first-authorDatabases, data management, data science and information retrieval · 1 · 1 first-author

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
Machine learning and data management · 77% Data integration and cleaning · 23%

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

TopicWeightPapersLastEvidence papers
Machine learning and data management
machine learning lifecycle management		 0.412019
Analytics Journey Map: An Approach Enable to ML at Scale · KDD 2019
Data integration and cleaning
data preprocessing		 0.112019
Analytics Journey Map: An Approach Enable to ML at Scale · KDD 2019

Methods — techniques the papers use, named apart from their topics

design thinking · 0.4
YearPublicationVenuePosition
2019 Analytics Journey Map: An Approach Enable to ML at Scale
abstract
Data scientists today spend significant portions of their time in finding and preparing data rather than analyzing, building and deploying models. The challenges and opportunities will be explored by using a design thinking approach, to increase Analytics / ML throughput at scale.
Ganesh Thondikulam
 KDD1