Jörg Sander, University of Alberta

Research

clustering cluster validation density-based clustering hierarchical clustering outlier detection outlier validation scalable clustering

Latest papers

Combining gene expression and interaction network data to improve kidney lesion score prediction.
International journal of bioinformatics research and applications · 2012
Efficient composite pattern finding from monad patterns.
International journal of bioinformatics research and applications · 2007

All 2 publications

Latest funding

Towards Efficient and Automated Unsupervised and Semi-Supervised Data Analytics
NSERC · 2023 · Principal investigator
$72,000
Finding Groups in Big Data
NSERC · 2016 · Principal investigator
$276,000
Wireless sensing technologies for environmental monitoring
NSERC · 2008 · Co-investigator
$34,405

All 6 grants and awards

2 publications.

01

Combining gene expression and interaction network data to improve kidney lesion score prediction.

Moulavi D, Hajiloo M, Sander J, Halloran PF, Greiner R

International journal of bioinformatics research and applications2012

DOI: 10.1504/ijbra.2012.045976 PMID: 22450270

02

Efficient composite pattern finding from monad patterns.

Zhou J, Sander J, Lin G

International journal of bioinformatics research and applications2007

DOI: 10.1504/ijbra.2007.011836 PMID: 18048174

Towards Efficient and Automated Unsupervised and Semi-Supervised Data Analytics

Principal investigatorNSERC2023Discovery Grants Program - Individual

Principal investigators: Sander, Jörg

Keywords: clustering; outlier detection; density-based clustering; hierarchical clustering; cluster validation; outlier validation; scalable clustering

$72,000

Finding Groups in Big Data

Principal investigatorNSERC2016Discovery Grants Program - Individual

Principal investigators: Sander, Jörg

$276,000

Wireless sensing technologies for environmental monitoring

Co-investigatorNSERC2008Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: SanchezAzofeifa, GerardoArturo

$34,405

Database systems lab upgrade

Co-investigatorNSERC2007Research Tools and Instruments - Category 1 (<$150,000)

Principal investigators: Rafiei, Davood

$64,720

VENUS: Victoria experimental network under the sea

Co-investigatorNSERC2007Major Resources Support Program - Infrastructure

Principal investigators: Tunnicliffe, Verena

$2,045,790

Integrated data mining in biological and bio-medical databases

Principal investigatorNSERC2002Discovery Grants Program - Individual

Principal investigators: Sander, Jörg

$104,000

From CIHR, NSERC and SSHRC funding decisions: CIHR since 2008, NSERC since 1991 and SSHRC since 1998, including their latest published competition results.

Frequent collaborators

Computing Science

Co-authors at University of Alberta, colored by department. Thicker lines mean more shared papers; select anyone to open their profile and their own map.

Russell Greiner

Computing Science

1 shared papers, latest 2012

Guohui Lin

Computing Science

1 shared papers, latest 2007

Write to this professor

A short, specific email works best. This draft uses one of their recent papers; replace the parts in brackets with your own details before sending.

Applying for

Paper to mentionMention their NSERC grant from 2023

Subject: Prospective PhD student: clustering Dear Professor Sander, My name is [your name], and I am a [your current degree or role] at [your institution]. I am applying for a PhD position starting in [term and year]. I read your paper "Combining gene expression and interaction network data to improve kidney lesion score prediction." (2012), and it connects closely to my own work on [your research topic]. [One or two sentences on what you did and what you learned.] I also saw your NSERC-funded project "Towards Efficient and Automated Unsupervised and Semi-Supervised Data Analytics" (2023), and I would be glad to contribute to work in that direction. Are you accepting new PhD students for [term and year]? I have attached my CV and transcripts, and I would be glad to talk at a time that suits you. Thank you for your time. Kind regards, [your name]