Mehmet M. Dalkilic

Affiliations:
  • Indiana University, Bloomington, USA


According to our database1, Mehmet M. Dalkilic authored at least 40 papers between 1997 and 2023.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2023
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization.
SoftwareX, 2022

ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.
BMC Bioinform., 2022

2020
Applying Class-to-Class Siamese Networks to Explain Classifications with Supportive and Contrastive Cases.
Proceedings of the Case-Based Reasoning Research and Development, 2020

2018
Gene Expression Arrays.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Biostatistics and Data Analysis.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

Using Data Analytics to Optimize Public Transportation on a College Campus.
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018

2017
Using data to build a better EM: EM* for big data.
Int. J. Data Sci. Anal., 2017

Improving expectation maximization algorithm over stellar data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

A novel approach to optimization of iterative machine learning algorithms: Over heap structure.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Case Study: Clustering Big Stellar Data with EM.
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

2016
SUPCRTBL: A revised and extended thermodynamic dataset and software package of SUPCRT92.
Comput. Geosci., 2016

EM*: An EM Algorithm for Big Data.
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016

2015
Feature frequency profiles for automatic sample identification using PySpark.
Proceedings of the 5th Workshop on Python for High-Performance and Scientific Computing, 2015

Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015

2014
Studying the Milky Way Galaxy Using ParaHeap-k.
Computer, 2014

A new set of Random Forests with varying dynamic data reduction and voting techniques.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014

2012
WIGM: Discovery of Subgraph Patterns in a Large Weighted Graph.
Proceedings of the Twelfth SIAM International Conference on Data Mining, 2012

2009
Gene Expression Arrays.
Proceedings of the Encyclopedia of Database Systems, 2009

Biostatistics and Data Analysis.
Proceedings of the Encyclopedia of Database Systems, 2009

Data-Driven Ontologies.
Proceedings of the Biocomputing 2009: Proceedings of the Pacific Symposium, 2009

A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web.
Proceedings of the Database Technologies: Concepts, 2009

2007
A Measurement Ontology Generalizable for Emerging Domain Applications on the Semantic Web.
J. Database Manag., 2007

Using Drosophila melanogaster Data to Discover Disease-Related Protein Interactions in Humans.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence in Bioinformatics and Computational Biology, 2007

2006
High-Performance Direct Pairwise Comparison of Large Genomic Sequences.
IEEE Trans. Parallel Distributed Syst., 2006

COMPAM : visualization of combining pairwise alignments for multiple genomes.
Bioinform., 2006

An Approximate de Bruijn Graph Approach to Multiple Local Alignment and Motif Discovery in Protein Sequences.
Proceedings of the Data Mining and Bioinformatics, First International Workshop, 2006

Using Compression to Identify Classes of Inauthentic Texts.
Proceedings of the Sixth SIAM International Conference on Data Mining, 2006

Trust Establishment in Data Sharing: An Incentive Model for Biodiversity Information Systems.
Proceedings of the 2nd International ICST Conference on Collaborative Computing: Networking, 2006

2005
Circle: design and implementation of a classifier based on circuit minimization.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

Design and evaluation of CATPA: curation and alignment tool for protein analysis.
Proceedings of the 2005 ACM Symposium on Applied Computing (SAC), 2005

An Architecture and Application for Integrating Curation Data at the Residue Level for Proteins.
Proceedings of the Data Integration in the Life Sciences, Second InternationalWorkshop, 2005

2004
Semantic thumbnails: a novel method for summarizing document collections.
Proceedings of the 22nd Annual International Conference on Design of Communication: The Engineering of Quality Documentation, 2004

Guiding motif discovery by iterative pattern refinement.
Proceedings of the 2004 ACM Symposium on Applied Computing (SAC), 2004

A logic-theoretic classifier called Circle.
Proceedings of the 8th International Conference on Control, 2004

2003
Motif Discovery from Large Number of Sequences: A Case Study with Disease Resistance Genes in Arabidopsos thaliana.
Proceedings of the International Conference on Mathematics and Engineering Techniques in Medicine and Biological Scienes, 2003

2002
DSQL - An SQL for Structured Documents.
Proceedings of the Advanced Information Systems Engineering, 14th International Conference, 2002

Improving Query Evaluation with Approximate Functional Dependency Based Decompositions.
Proceedings of the Advances in Databases, 19th British National Conference on Databases, 2002

2000
Information Dependencies.
Proceedings of the Nineteenth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2000

1997
CE: the Classifier-Estimator Framework for Data Mining.
Proceedings of the Data Mining and Reverse Engineering: Searching for Semantics, 1997


  Loading...