the term data mining became more popular in the business and press communities. Currently, the terms data mining and knowledge discovery are used interchangeably...

Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media...

Reviews: Data Mining and Knowledge Discovery Wiley Interdisciplinary Reviews: Developmental Biology Wiley Interdisciplinary Reviews: Energy and Environment...

three perspectives of text mining: information extraction, data mining, and knowledge discovery in databases (KDD). Text mining usually involves the process...

Data Stream Mining (also known as stream learning) is the process of extracting knowledge structures from continuous, rapid data records. A data stream...

SIGKDD group for Knowledge Discovery, Data Mining and Data Science. He is the founder and president of KDnuggets, a discussion and learning website for...

using data mining methods". Workshop on Educational Data Mining 2006. Zhu, Xingquan; Davidson, Ian (2007). Knowledge Discovery and Data Mining: Challenges...

on Knowledge Discovery and Data Mining, hosts an influential annual conference. The KDD Conference grew from KDD (Knowledge Discovery and Data Mining) workshops...

models, architectures, and evaluation systems for actionable knowledge discovery. Data-driven pattern mining and knowledge discovery in databases face such...

data mining and knowledge discovery projects." Other reviews of CRISP-DM and data mining process models include Kurgan and Musilek's 2006 review, and...

open data portal". European open data portal. European Commission. Retrieved 2016-09-23. Jan M. Żytkow, Jan Rauch (2000). Principles of data mining and knowledge...

consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. He is an editor of the Encyclopedia...

Graph storage formats and visualization", Graph-Based Social Media Analysis, Chapman & Hall/CRC Data Mining and Knowledge Discovery Series, vol. 39, CRC...

Oracle Data Mining (ODM) is an option of Oracle Database Enterprise Edition. It contains several data mining and data analysis algorithms for classification...

IEEE Systems, Man, and Cybernetics Society. He is an associate editor of Data Mining and Knowledge Discovery (DMKD), Knowledge and Information Systems...

Jordanian-American data scientist. He is a co-founder of KDD conferences and ACM SIGKDD association for Knowledge Discovery and Data Mining. He is a speaker...

for "contributions in feature selection for data mining and knowledge discovery and in social computing" and AAAI Fellow in 2019. In 2022, Huan Liu was...

Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications". Data Mining and Knowledge Discovery. 2 (2). Berlin: Springer-Verlag: 169–194. Bibcode:1998DMKD...

Educational data mining (EDM) is a research field concerned with the application of data mining, machine learning and statistics to information generated...

to data mining and knowledge discovery. Pei received his PhD at SFU advised by Jiawei Han, and bachelor degree at SJTU. He teaches Data Science at Duke...

Pregibon, D. (2001). Signature-Based Methods for Data Streams. Data Mining and Knowledge Discovery 5: 167–182. Bolton, R. & Hand, D. (2001). Unsupervised...

locality with applications to spatial, video, and network outlier detection". Data Mining and Knowledge Discovery. 28: 190–237. doi:10.1007/s10618-012-0300-z...

Yan, X. (2007). "Frequent pattern mining: current status and future directions". Data Mining and Knowledge Discovery. 15 (1): 55–86. doi:10.1007/s10618-006-0059-1...

Gregory, Piatetsky-Shapiro., Padhraic, Smyth. (1996). From Data Mining to Knowledge Discovery in Databases. Ai Magazine, 17(3):37-54. doi:10.1609/AIMAG...

Dimitrios (2000). "Constraint-based rule mining in large, dense databases". Data Mining and Knowledge Discovery. 4 (2): 217–240. doi:10.1023/A:1009895914772...

pattern discovery (or FP discovery, FP mining, or Frequent itemset mining) is part of knowledge discovery in databases, Massive Online Analysis, and data mining;...

locality with applications to spatial, video, and network outlier detection". Data Mining and Knowledge Discovery. 28: 190–237. doi:10.1007/s10618-012-0300-z...

in Axis-Parallel Subspaces of High Dimensional Data. Advances in Knowledge Discovery and Data Mining. Lecture Notes in Computer Science. Vol. 5476. p...

WIREs Data Mining and Knowledge Discovery. 1 (3): 231–240. doi:10.1002/widm.30. S2CID 36920706. Microsoft academic search: most cited data mining articles...

K-optimal pattern discovery is a data mining technique that provides an alternative to the frequent pattern discovery approach that underlies most association...