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Books on the topic 'Discovery from data'

Author: Grafiati

Published: 10 March 2023

Last updated: 31 July 2025

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1

Gaber, Mohamed Medhat, Ranga Raju Vatsavai, Olufemi A. Omitaomu, João Gama, Nitesh V. Chawla, and Auroop R. Ganguly, eds. Knowledge Discovery from Sensor Data. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-12519-5.

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2

R, Ganguly Auroop, ed. Knowledge discovery from sensor data. Taylor & Francis, 2009.

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3

Ye, Chen, Hongzhi Wang, and Guojun Dai. Knowledge Discovery from Multi-Sourced Data. Springer Nature Singapore, 2022. http://dx.doi.org/10.1007/978-981-19-1879-7.

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4

Bandyopadhyay, Sanghamitra, Ujjwal Maulik, Lawrence B. Holder, and Diane J. Cook. Advanced Methods for Knowledge Discovery from Complex Data. Springer London, 2005. http://dx.doi.org/10.1007/1-84628-284-5.

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5

Páircéir, Rónán. Knowledge discovery from distributed aggregate data in data warehouses and statistical databases. The Author], 2002.

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6

Read, J. F. CTD data from the north east Atlantic, April 1989, collected on RRS Discovery Cruise 181. Institute of Oceanographic Sciences, Deacon Laboratory, 1991.

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7

Marchese, Francis T. Knowledge Visualization Currents: From Text to Art to Culture. Springer London, 2013.

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8

Suit, William T. Lateral and longitudinal stability and control parameters for the space shuttle Discovery as determined from flight test data. National Aeronautics and Space Administration, Langley Research Center, 1988.

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9

Agarwalla, Sobhesh Kumar. Impact of introduction of call auction on price--discovery: Evidence from Indian stock market using high--frequency data. Indian Institute of Management, Ahmedabad, 2012.

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10

Gaber, Mohamed Medhat. Knowledge Discovery from Sensor Data: Second International Workshop, Sensor-KDD 2008, Las Vegas, NV, USA, August 24-27, 2008, Revised Selected Papers. Springer-Verlag Berlin Heidelberg, 2010.

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11

Frances, Cleary, Daras Petros, Domingue John, et al., eds. The Future Internet: Future Internet Assembly 2012: From Promises to Reality. Springer Berlin Heidelberg, 2012.

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12

Siemion, Fajtlowicz, and DIMACS (Group), eds. Graphs and discovery: DIMACS working group, computer-generated conjectures from graph theoretical and chemical databases, November 12-16, 2001, DIMACS Center, CoRE Building, Rutgers University : DIMACS public event, graph theory day 42, November 10, 2001, DIMACS Center, CoRE Building, Rutgers University. American Mathematical Society, 2005.

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13

Smith, Z. F. The history of Kentucky: From its earliest discovery and settlement, to the present date ... Courier-Journal Job Print. Co., 1989.

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14

1813-1880, Sargent Epes, ed. Arctic adventure by sea and land: From the earliest date to the last expeditions in search of Sir John Franklin. Phillips, Sampson, 1985.

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15

Admiralty, Great Britain. Arctic expeditions: Copies of instructions from the Admiralty to Captain Austin, R.N., C.B., and to any other officers, in Her Majesty's Service engaged in Arctic expeditions, since the date of the last Parliamentary return. HMSO, 2001.

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16

Gama, Joao. Knowledge Discovery from Data Streams. Chapman and Hall/CRC, 2010. http://dx.doi.org/10.1201/ebk1439826119.

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17

Ganguly, Auroop R., Joao Gama, Olufemi A. Omitaomu, and Mohamed Gaber, eds. Knowledge Discovery from Sensor Data. CRC Press, 2008. http://dx.doi.org/10.1201/9781420082333.

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18

Omitaomu, Olufemi A., Joao Gama, Ranga Raju Vatsavai, Auroop R. Ganguly, and Mohamed Gaber. Knowledge Discovery from Sensor Data. Taylor & Francis Group, 2019.

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19

Omitaomu, Olufemi A., Joao Gama, Ranga Raju Vatsavai, Auroop R. Ganguly, and Mohamed Gaber. Knowledge Discovery from Sensor Data. Taylor & Francis Group, 2008.

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20

Olufemi A. Omitaomu,Mohamed Medhat Gaber,Ranga Raju Vatsavai. Knowledge Discovery from Sensor Data. Springer, 2010.

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21

Omitaomu, Olufemi A., Joao Gama, Ranga Raju Vatsavai, Auroop R. Ganguly, and Mohamed Gaber. Knowledge Discovery from Sensor Data. Taylor & Francis Group, 2008.

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22

Gama, Joao. Knowledge Discovery from Data Streams. Taylor & Francis Group, 2010.

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23

Gama, Joao. Knowledge Discovery from Data Streams. Taylor & Francis Group, 2010.

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24

Gama, Joao. Knowledge Discovery from Data Streams. Taylor & Francis Group, 2010.

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25

Knowledge discovery from data streams. Chapman & Hall/CRC, 2010.

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26

Dai, Guojun, Hongzhi Wang, and Chen Ye. Knowledge Discovery from Multi-Sourced Data. Springer, 2022.

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27

Stranieri, Andrew, and John Zeleznikow. Knowledge Discovery from Legal Databases. Springer, 2010.

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28

Cook, Diane J., Ujjwal Maulik, and Lawrence B. Holder. Advanced Methods for Knowledge Discovery from Complex Data. Springer, 2010.

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29

Cook, Diane J., Ujjwal Maulik, and Lawrence B. Holder. Advanced Methods for Knowledge Discovery from Complex Data. Springer London, Limited, 2006.

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30

Omitaomu, Olufemi A., Mohamed Medhat Gaber, Joao Gama, Ranga Raju Vatsavai, and Auroop R. Ganguly. Knowledge Discovery from Sensor Data. Industrial Innovation Series. Taylor & Francis Group, 2009.

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31

Interactive Event-Driven Knowledge Discovery from Data Streams. Independently Published, 2016.

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32

Pelosi, Marilyn K., and Theresa M. Sandifer. Elementary Statistics: From Discovery to Decision, Excel Manual. John Wiley & Sons, 2004.

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33

Advances In Chance Discovery Extended Selection From International Workshops. Springer, 2012.

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34

Ohsawa, Yukio, and Akinori Abe. Advances in Chance Discovery: Extended Selection from International Workshops. Springer, 2014.

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35

Ohsawa, Yukio, and Akinori Abe. Advances in Chance Discovery: Extended Selection from International Workshops. Springer London, Limited, 2012.

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36

Ghosh, Ashish, Satchidananda Dehuri, and Susmita Ghosh. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Springer Berlin / Heidelberg, 2010.

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37

Ghosh, Ashish, Satchidananda Dehuri, and Susmita Ghosh. Multi-Objective Evolutionary Algorithms for Knowledge Discovery from Databases. Springer, 2008.

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38

Knowledge Discovery in Big Data from Astronomy and Earth Observation. Elsevier, 2020. http://dx.doi.org/10.1016/c2018-0-02187-8.

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39

Wang, Jason T. L., Bruce A. Shapiro, and Dennis Shasha, eds. Pattern Discovery in Biomolecular Data. Oxford University Press, 1999. http://dx.doi.org/10.1093/oso/9780195119404.001.0001.

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Abstract:

Finding patterns in biomolecular data, particularly in DNA and RNA, is at the center of modern biological research. These data are complex and growing rapidly, so the search for patterns requires increasingly sophisticated computer methods. Pattern Discovery in Biomolecular Data provides a clear, up-to-date summary of the principal techniques. Each chapter is self-contained, and the techniques are drawn from many fields, including graph theory, information theory, statistics, genetic algorithms, computer visualization, and vision. Since pattern searches often benefit from multiple approaches,

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40

Berti-Équille, Laure, and Javier Borge-Holthoefer. Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Morgan & Claypool Publishers, 2015.

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41

Berti-Équille, Laure, and Javier Borge-Holthoefer. Veracity of Data: From Truth Discovery Computation Algorithms to Models of Misinformation Dynamics. Morgan & Claypool Publishers, 2015.

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42

Skoda, Petr, and Fathalrahman Adam. Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics. Elsevier, 2020.

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43

author, Haines William E., Huber Bruce A. author, Gordon Arnold L. author, Lamont-Doherty Earth Observatory, and United States. Office of Naval Research, eds. CTD and hydrographic data from cruise 165B of RRS Discovery - Benguela. 1990.

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44

Skoda, Petr, and Fathalrahman Adam. Knowledge Discovery in Big Data from Astronomy and Earth Observation: Astrogeoinformatics. Elsevier, 2020.

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45

Chandola, Varun. Proceedings of the Fifth International Workshop on Knowledge Discovery from Sensor Data. Association for Computing Machinery, 2011.

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46

Proceedings of the Sixth International Workshop on Knowledge Discovery from Sensor Data. Association for Computing Machinery, 2012.

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47

Proceedings of the Third International Workshop on Knowledge Discovery from Sensor Data. Association for Computing Machinery, 2009.

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48

Balaji, Balaji R. Krishnapuram. SensorKDD'10: The 4th International Workshop on Knowledge Discovery from Sensor Data. Association for Computing Machinery, 2010.

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49

Herzfeld, Ute Christina. Atlas of Antarctica: Topographic Maps from Geostatistical Analysis of Satellite Radar Altimeter Data. Springer London, Limited, 2012.

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50

Herzfeld, Ute Christina. Atlas of Antarctica: Topographic Maps from Geostatistical Analysis of Satellite Radar Altimeter Data. Springer, 2013.

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