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EDBT 2026 Demo / reviewers in the wild / expert

Amir Netz

dblp:70/6074 · DBLP profile ↗
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3ranked-venue papers
3as first author
0since 2021 · last 2001
—ORCID · none

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

Databases, data management, data science and information retrieval · 3 · 3 first-authorArtificial intelligence and machine learning · 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
3 papers
Data mining · 55% Database system architecture and tuning · 37% Data models and query languages · 9%

Topics — the 1 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Data mining
data mining system		 0.012001
Data mining platform for database developers · KDD 2001

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

API design · 0.0
YearPublicationVenuePosition
2001 Integrating Data Mining with SQL Databases: OLE DB for Data Mining
abstract
The integration of data mining with traditional database systems is key to making it convenient, easy to deploy in real applications, and to growing its user base. We describe the new API for data mining proposed by Microsoft as extensions to the OLE DB standard. We illustrate the basic notions that motivated the API's design and describe the key components of an OLE DB for the data mining provider. We also include examples of the usage and treat the problems of data representation and integration with the SQL framework. We believe this new API will go a long way in enabling deployment of data mining in enterprise data warehouses. A reference implementation of a provider is available with the recent release of Microsoft SQL Server 2000 database system.
Amir Netz, Surajit Chaudhuri, Usama M. Fayyad, Jeff Bernhardt
 ICDE1
2001 Data mining platform for database developers
abstract
No abstract available.
Amir Netz
 KDD1
2000 Integration of Data Mining with Database Technology
Amir Netz, Surajit Chaudhuri, Jeff Bernhardt, Usama M. Fayyad
 VLDB1