Books on the topic 'Data detection'

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1

Varshney, Pramod K. Distributed Detection and Data Fusion. New York, NY: Springer New York, 1997.

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2

Gupta, Manish, Jing Gao, Charu Aggarwal, and Jiawei Han. Outlier Detection for Temporal Data. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-031-01905-0.

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3

Varshney, Pramod K. Distributed Detection and Data Fusion. New York, NY: Springer New York, 1997. http://dx.doi.org/10.1007/978-1-4612-1904-0.

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4

Varshney, Pramod K. Distributed detection and data fusion. Edited by Burrus C. S. Berlin: Springer, 1996.

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5

Varshney, Pramod K. Distributed detection and data fusion. Edited by Burrus C. S. New York: Springer, 1997.

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6

Samy, Ihab, and Da-Wei Gu. Fault Detection and Flight Data Measurement. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-24052-2.

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7

Latifur, Khan, and Thuraisingham Bhavani M, eds. Data mining tools for malware detection. Boca Raton, FL: CRC Press, 2012.

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8

Yang, Chenggang. Precipitation detection with satellite microwave data. Washington, D.C: U.S. Dept. of Commerce, National Oceanic and Atmospheric Administration, National Environmental Satellite, Data, and Information Service, 1988.

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9

Chen, Zhiwen. Data-Driven Fault Detection for Industrial Processes. Wiesbaden: Springer Fachmedien Wiesbaden, 2017. http://dx.doi.org/10.1007/978-3-658-16756-1.

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10

M, Breipohl Arthur, ed. Random signals: Detection, estimation, and data analysis. New York: Wiley, 1988.

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11

K, Kokula Krishna Hari, ed. Data Duplication Prevention and Detection: ICIEMS 2014. India: Association of Scientists, Developers and Faculties, 2014.

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12

International Conference on Data Mining (10th 2009 Crete, Greece). Data mining X: Data mining, protection, detection and other security technologies. Edited by Zanasi A, Ebecken N. F. F, and Brebbia C. A. Southampton, UK: WIT Press, 2009.

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13

International Conference on Data Mining (10th 2009 Crete, Greece). Data mining X: Data mining, protection, detection and other security technologies. Edited by Zanasi A, Ebecken N. F. F, and Brebbia C. A. Southampton, UK: WIT Press, 2009.

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14

International Conference on Data Mining (9th 2008 Cadiz, Spain). Data mining IX: Data mining, protection, detection and other security technologies. Edited by Zanasi A. Southampton: WIT, 2008.

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15

International Conference on Data Mining (10th 2009 Crete, Greece). Data mining X: Data mining, protection, detection and other security technologies. Edited by Zanasi A, Ebecken N. F. F, and Brebbia C. A. Southampton, UK: WIT Press, 2009.

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16

Narasimhan, Shankar. Data reconciliation & gross error detection: An intelligent use of process data. Houston: Gulf Publishing Co., 2000.

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17

International Conference on Data Mining (9th 2008 Cadiz, Spain). Data mining IX: Data mining, protection, detection and other security technologies. Edited by Zanasi A. Southampton: WIT, 2008.

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18

International Conference on Data Mining (10th 2009 Crete, Greece). Data mining X: Data mining, protection, detection and other security technologies. Edited by Zanasi A, Ebecken N. F. F, and Brebbia C. A. Southampton, UK: WIT Press, 2009.

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19

Investigative data mining for security and criminal detection. Amsterdam: Butterworth-Heinemann, 2003.

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20

Provder, Theodore, ed. Detection and Data Analysis in Size Exclusion Chromatography. Washington, DC: American Chemical Society, 1987. http://dx.doi.org/10.1021/bk-1987-0352.

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21

Corley, Kenneth Rainer. Detection, Data Analysis, and Astrophysics of Gravitational Waves. [New York, N.Y.?]: [publisher not identified], 2020.

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22

1939-, Provder Theodore, American Chemical Society. Division of Polymeric Materials: Science and Engineering., and American Chemical Society Meeting, eds. Detection and data analysis in size exclusion chromatography. Washington, DC: The Society, 1987.

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23

Adams, Richard Arthur. Distributed deadlock detection for communicating processes. Urbana, Ill: Dept. of Computer Science, University of Illinois at Urbana-Champaign, 1986.

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24

Gil, Neiger, and United States. National Aeronautics and Space Administration., eds. Detection of global state predicates. Ithaca, N.Y: Dept. of Computer Science, Cornell University, 1991.

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25

Haering, Niels. Visual Event Detection. Boston, MA: Springer US, 2001.

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26

Melanie, Herschel, ed. An introduction to duplicate detection. San Rafael, Calif. (1537 Fourth Street, San Rafael, CA 94901 USA): Morgan & Claypool, 2010.

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27

Wang, Jing, Jinglin Zhou, and Xiaolu Chen. Data-Driven Fault Detection and Reasoning for Industrial Monitoring. Singapore: Springer Singapore, 2022. http://dx.doi.org/10.1007/978-981-16-8044-1.

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28

Weller, René. New Geometric Data Structures for Collision Detection and Haptics. Heidelberg: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-01020-5.

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29

Shabtai, Asaf, Yuval Elovici, and Lior Rokach. A Survey of Data Leakage Detection and Prevention Solutions. Boston, MA: Springer US, 2012. http://dx.doi.org/10.1007/978-1-4614-2053-8.

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30

Yuval, Elovici, Rokach Lior, and SpringerLink (Online service), eds. A Survey of Data Leakage Detection and Prevention Solutions. Boston, MA: Springer US, 2012.

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31

Jaijit, Bhattacharya, and Indian Institute of Management, Ahmedabad., eds. PRIVDAM: Privacy violation detection and monitoring using data mining. Ahmedabad: Indian Institute of Management, 2005.

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32

Center, Ames Research, ed. Activity tracking for pilot error detection from flight data. Moffett Field, CA: National Aeronautcs and Space Administration, Ames Research Center, 2002.

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33

Centre, Bhabha Atomic Research, ed. Seismic signal detection by fractal dimension approach. Mumbai: Bhabha Atomic Research Centre, 2003.

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34

van Haasteren, Rutger. Gravitational Wave Detection and Data Analysis for Pulsar Timing Arrays. Berlin, Heidelberg: Springer Berlin Heidelberg, 2014. http://dx.doi.org/10.1007/978-3-642-39599-4.

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35

Kim, Kyusung. Use of SCADA data for failure detection in wind turbines. Golden, CO: National Renewable Energy Laboratory, 2011.

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36

Meredith, John. Circle detection for non-gridded data utilising the Hough transform. Leicester: De Montfort University, 2003.

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37

Scalable Community Detection in Massive Networks using Aggregated Relational Data. [New York, N.Y.?]: [publisher not identified], 2019.

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38

Han, Jiawei, Manish Gupta, Jing Gao, and Charu Aggarwal. Outlier Detection for Temporal Data. Morgan & Claypool Publishers, 2014.

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39

Han, Jiawei, Manish Gupta, Jing Gao, and Charu Aggarwal. Outlier Detection for Temporal Data. Springer International Publishing AG, 2014.

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40

HOFBAUER, Zimmermann. Single Photon Detection Data Communica. Institute of Physics Publishing, 2021.

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41

Han, Jiawei, Manish Gupta, Jing Gao, and Charu Aggarwal. Outlier Detection for Temporal Data. Morgan & Claypool Publishers, 2014.

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42

Fraud Detection. Global Audit Publications, 1999.

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43

Sengupta, Nandita, and Jaya Sil. Intrusion Detection: A Data Mining Approach. Springer Singapore Pte. Limited, 2021.

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44

Thuraisingham, Bhavani, Latifur Khan, and Mehedy Masud. Data Mining Tools for Malware Detection. Auerbach Publishers, Incorporated, 2016.

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45

Data Reconciliation and Gross Error Detection. Elsevier, 1999. http://dx.doi.org/10.1016/b978-0-88415-255-2.x5000-9.

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46

Masud, Mehedy, Latifur Khan, and Bhavani Thuraisingham. Data Mining Tools for Malware Detection. Auerbach Publications, 2016. http://dx.doi.org/10.1201/b11298.

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47

Thuraisingham, Bhavani, Latifur Khan, and Mehedy Masud. Data Mining Tools for Malware Detection. Auerbach Publishers, Incorporated, 2016.

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48

Thuraisingham, Bhavani, Latifur Khan, and Mehedy Masud. Data Mining Tools for Malware Detection. Auerbach Publishers, Incorporated, 2016.

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49

Thuraisingham, Bhavani, Latifur Khan, and Mehedy Masud. Data Mining Tools for Malware Detection. Auerbach Publishers, Incorporated, 2016.

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50

Sengupta, Nandita, and Jaya Sil. Intrusion Detection: A Data Mining Approach. Springer Singapore Pte. Limited, 2020.

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