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Data Mining and Knowledge Discovery information


Data Mining and Knowledge Discovery
DisciplineComputer science
LanguageEnglish
Publication details
History1997–present
Publisher
Springer Science+Business Media
FrequencyBimonthly
Impact factor
3.67 (2020)
Standard abbreviations
ISO 4Data Min. Knowl. Discov.
Indexing
CODENDMKDFD
ISSN1384-5810 (print)
1573-756X (web)
LCCNsn98038132
OCLC no.38037443
Links
  • Journal homepage
  • Online access
  • Online first articles

Data Mining and Knowledge Discovery is a bimonthly peer-reviewed scientific journal focusing on data mining published by Springer Science+Business Media. It was started in 1996 and launched in 1997 by Usama Fayyad as founding Editor-in-Chief by Kluwer Academic Publishers (later becoming Springer). The first Editorial provides a summary of why it was started.[1]

  1. ^ Fayyad, Usama (1 July 1997). "Editorial - First issue of the journal". Data Mining and Knowledge Discovery. 1 (1): 5. doi:10.1023/A:1009715820935. S2CID 264014180.

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Data Mining and Knowledge Discovery

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Special Interest Group on Knowledge Discovery and Data Mining

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

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Data stream mining

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

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Educational data mining

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

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Examples of data mining

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

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Social media mining

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Pacific-Asia Conference on Knowledge Discovery and Data Mining DMKD Conference – Research Issues on Data Mining and Knowledge Discovery ECML-PKDD Conference...

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Domain driven data mining

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

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DBSCAN

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

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Knowledge extraction

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considered knowledge about the data. It is often described as deriving knowledge from the input data. Knowledge discovery developed out of the data mining domain...

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Data set

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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...

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Data cube

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1997). "Data Cube: A Relational Aggregation Operator Generalizing Group-By, Cross-Tab, and Sub-Totals". Data Mining and Knowledge Discovery. 1 (1): 29–53...

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Wiley Interdisciplinary Reviews

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

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Oversampling and undersampling in data analysis

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(2010) Data Mining for Imbalanced Datasets: An Overview doi:10.1007/978-0-387-09823-4_45 In: Maimon, Oded; Rokach, Lior (Eds) Data Mining and Knowledge Discovery...

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Usama Fayyad

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

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Dynamic time warping

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comparison of representation methods and distance measures for time series data". Data Mining and Knowledge Discovery. 2010: 1–35. arXiv:1012.2789. Gupta...

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Geoff Webb

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consultancy company G. I. Webb and Associates, and former editor-in-chief of the journal Data Mining and Knowledge Discovery. Before joining Monash University...

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ECML PKDD

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Principles of Data Mining and Knowledge Discovery from Databases. The name European Conference on Principles and Practice of Knowledge Discovery in Databases...

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Frequent pattern discovery

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

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Sequential pattern mining

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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...

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Oracle Data Mining

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

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Evolutionary data mining

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random rules again. Data mining Evolutionary algorithm Knowledge discovery Pattern mining Data analysis Wai-Ho Au, Keith C. C. Chan, and Xin Yao. "A Novel...

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Association rule learning

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

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Cluster analysis

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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...

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Data analysis for fraud detection

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

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Michael Berthold

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

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Anomaly detection

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

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