Association for Computing Machinery's (ACM) Special Interest Group (SIG) on Knowledge Discovery and Data Mining, hosts an influential annual conference....

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

as KDD Yankunytjatjara dialect (ISO 639:kdd) Special Interest Group on Knowledge Discovery and Data Mining (SIGKDD) This disambiguation page lists articles...

Interaction, and Knowledge and Information Systems. Webb was elected to the ACM Special Interest Group on Knowledge Discovery and Data Mining Executive Committee...

data mining and machine learning. He was the secretary treasurer of the Association for Computing Machinery (ACM) Special Interest Group on Knowledge...

on Data Mining (ICDM). He also served as an industry and government track co-chair of the 18th ACM Special Interest Group on Knowledge Discovery and Data...

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

(eds.). Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96). AAAI Press. pp. 226–231. ISBN 1-57735-004-9. Ankerst...

more effectively. Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather...

KDD-1998 and KDD-2004 received KDD Test-of-Time awards in 2014 and 2015. In 2013, he was elected chair of SIGKDD, ACM Special Interest Group on Knowledge Discovery...

System (PDF). Proceedings of the 16th ACM SIGKDD Int'l Conf. on Knowledge Discovery and Data Mining. New York City, New York: ACM. pp. 899–908. Retrieved November...

Learning Analysis of Social Politics using Knowledge Graph Embedding". Data Mining and Knowledge Discovery. 35 (4): 1497–1536. arXiv:2006.01626. doi:10...

(2016). "On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study". Data Mining and Knowledge Discovery. 30 (4):...

International Conference on Intelligent Robots and Systems (IROS) Conference on Knowledge Discovery and Data Mining (KDD) Conference on Neural Information Processing...

well as databases, dimensions, measures, and data mining models. Technical metadata defines the data model and the way it is displayed for the users, with...

Mining in Afghanistan was controlled by the Ministry of Mines and Petroleum, prior to the August 15th takeover by the Taliban. It is headquartered in...

Mining is the extraction of valuable geological materials and minerals from the surface of the Earth. Mining is required to obtain most materials that...

nobler motives, including scientific discovery and the expansion of knowledge about the world. This broader knowledge of the world's geography meant that...

hybrid knowledge base of structured and unstructured information extracted from Wikipedia augmented by RDF data from DBpedia and other Linked Data resources...

of knowledge is a multi-disciplinary field of inquiry. It studies how knowledge is acquired, stored, retrieved, and communicated. Special interest is...

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

rules", in Ning Zhong; Lizhu Zhou (eds.), Methodologies for Knowledge Discovery and Data Mining: Proceedings of the Third Pacific-Asia Conference, PAKDD-99...

TBI employs data mining and analyzing biomedical informatics in order to generate clinical knowledge for application. Clinical knowledge includes finding...

Technology Education SIGKDD: Knowledge Discovery and Data Mining SIGLOG: Logic and Computation SIGMETRICS: Measurement and Evaluation SIGMICRO: Microarchitecture...

greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Though used sometimes...

Graphic Models in Computer Vision" (TPAMI 2009), "Knowledge Discovery over Community-Contributed Multimedia Data" (IEEE MultiMedia 2010), "Social Media" (ACM...

original on February 18, 2016. Milne, David; Witten, Ian H. (October 2008). "Proceeding of the 17th ACM conference on Information and knowledge mining – CIKM...

involving multivariate data, for example simple linear regression and multiple regression, are not usually considered to be special cases of multivariate...

inducing a predictive learning model. Molecule mining approaches, a special case of structured data mining approaches, apply a similarity matrix based prediction...