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...ency]] exceeds a user-given threshold. The algorithm works by dividing the data stream into buckets for frequent items, but fill as many buckets as possibl ...here data takes the form of a continuous data stream instead of a finite [[data set]], such as [[network traffic measurement]]s, [[web server]] logs, and [ ...

...Keim et IEEE Computer Society, "Information visualization and visual data mining," IEEE TRANSACTIONS ON VISUALIZATION AND COMPUTER GRAPHICS 8 (2002): 1--8.< ...red data are processed with [[text-mining]].<ref>Laura Ruotsalainen, "Data mining tools for technology and competitive intelligence" VTT Research Notes 2451( ...

...t subtree problem]].<ref>{{Cite journal|title = EvoMiner: frequent subtree mining in phylogenetic databases|last1 = Deepak|first1 = Akshay|date = July 2013|j ...pringer.com/book/10.1007%2Fb97861 Advances in Knowledge Discovery and Data Mining.]" ''8th Pacific-Asia Conference, PAKDD 2004, Sydney, Australia, May 26–28, ...

{{Short description|Pooled resources for cryptocurrency mining}} ...-03 }}" in the 18th International Conference on Financial Cryptography and Data Security(FC).2014</ref><ref>{{cite web|last1=Eyal|first1=Ittay|title=The Mi ...

...iscrimination across varied conditions. In the context of face detection, data points correspond to images. ...d by all triplets <math>(A^{(i)}, P^{(i)}, N^{(i)})</math> in the training data set: ...

{{Short description|Algorithm in data mining}} ...Frey |author2=Delbert Dueck |title=Clustering by passing messages between data points |journal=[[Science (journal)|Science]] |volume=315 |year=2007 |pages ...

The '''α-algorithm''' or '''α-miner''' is an algorithm used in [[process mining]], aimed at reconstructing causality from a set of [[sequence of events|seq ...ring process models from event logs", ''IEEE Transactions on Knowledge and Data Engineering'', vol 16</ref> The goal of Alpha miner is to convert the event ...

...ar algebra]], a '''tensor decomposition''' is any scheme for expressing a "data tensor" (M-way array) as a sequence of elementary operations acting on othe ...06-30 |title=Proceedings of the 2016 SIAM International Conference on Data Mining |chapter-url=https://epubs.siam.org/doi/10.1137/1.9781611974348.80 |languag ...

* {{cite book|title=Provenance Data in Social Media|first1=Geoffrey|last1=Barbier|first2=Zhuo Feng|last2=Pritam [[Category:Data mining]] ...

'''Storage efficiency''' is the ability to store and manage data that consumes the least amount of space with little to no impact on perform ..., often to over 100% for primary data, and thousands of percent for backup data. ...

...John Gordon Skellam]]) is a way of measuring the [[cluster tendency]] of a data set.<ref>{{Cite journal ...ng|statistical hypothesis test]] where the [[null hypothesis]] is that the data is generated by a [[Poisson point process]] and are thus uniformly randomly ...

...oceedings of the 2000 ACM SIGMOD International Conference on Management of Data| series = [[SIGMOD]]| isbn = 1-58113-217-4| pages = 93–104| url = http://ww ...Outliers | doi = 10.1007/978-3-540-48247-5_28 | title = Principles of Data Mining and Knowledge Discovery | series = Lecture Notes in Computer Science | volu ...

...so known as [[data normalization]] and is generally performed during the [[data preprocessing]] step. Since the range of values of raw data varies widely, in some [[machine learning]] algorithms, objective functions ...

...g Industry, Data Science and Service Research Discussion Paper, Center for Data Science and Service Research Graduate School of Economic and Management Toh ...company)|Spalding]] Japan, and as advisor to the vice-president of Teikoku Data Bank. Subsequently, she worked as a Managing Associate of Coopers and Lybra ...

...Cite book|last=Leemans|first=S. J. J.|date=2017-05-09|title=Robust process mining with guarantees - SIKS Dissertation Series No. 2017-12|url=https://research ...This includes an improvement on the existing inductive miner to handle big data sets.{{citation needed|date=January 2022}} ...

...calculated either directly or indirectly, depending the particular type of data available. *Rate of return ''r_m'' on a [[mining]] stock equals 10% ...

...rocesses can aid industries as well as the scientific community. With this data, information about the [[lithosphere]] composition can be extrapolated in m ...tends to have significant [[Coefficient of variation|variation]], so using data from natural formations is more [[Accuracy and precision|accurate]], if it' ...

...s.<ref name="Aalst2013">{{cite book|author=Wil van der Aalst|title=Process Mining: Discovery, Conformance and Enhancement of Business Processes|publisher=Spr | journal = IEEE Transactions on Knowledge and Data Engineering ...

...ry based on a heuristic. By using the value called Spread Factor (SF), the data analyst has the ability to control the growth of the GSOM. ##Calculate the growth threshold (<math>GT</math>) for the given data set of dimension <math>D</math> according to the spread factor (<math>SF</m ...

In [[machine learning]] and [[data mining]], a '''string kernel''' is a [[Positive-definite kernel|kernel function]] ...s|clustered]] or [[statistical classification|classified]], e.g. in [[text mining]] and [[bioinformatics|gene analysis]].<ref> ...