Machine Learning for Big Data Analysis / / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De.
This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal...
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Machine Learning for Big Data Analysis / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De. Berlin ; Boston : De Gruyter, [2018] ©2019 1 online resource (X, 183 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda De Gruyter Frontiers in Computational Intelligence , 2512-8868 ; 1 Frontmatter -- Preface -- Contents -- 1. Applying big data analytics to psychometric micro-targeting -- 2. Keyframe selection for video indexing using an approximate minimal spanning tree -- 3. Deep learning techniques for image processing -- 4. Connecting cities using smart transportation: an overview -- 5. Model of intellectual analysis of multidimensional semi-structured data based on deep neuro-fuzzy networks -- 6. Image fusion in remote sensing based on sparse sampling method and PCNN techniques -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star This volume comprises six well-versed contributed chapters devoted to report the latest fi ndings on the applications of machine learning for big data analytics. Big data is a term for data sets that are so large or complex that traditional data processing application software is inadequate to deal with them. The possible challenges in this direction include capture, storage, analysis, data curation, search, sharing, transfer, visualization, querying, updating and information privacy. Big data analytics is the process of examining large and varied data sets - i.e., big data - to uncover hidden patterns, unknown correlations, market trends, customer preferences and other useful information that can help organizations make more-informed business decisions. This volume is intended to be used as a reference by undergraduate and post graduate students of the disciplines of computer science, electronics and telecommunication, information science and electrical engineering. THE SERIES: FRONTIERS IN COMPUTATIONAL INTELLIGENCE The series Frontiers In Computational Intelligence is envisioned to provide comprehensive coverage and understanding of cutting edge research in computational intelligence. It intends to augment the scholarly discourse on all topics relating to the advances in artifi cial life and machine learning in the form of metaheuristics, approximate reasoning, and robotics. Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023) Big data. Machine learning. Quantitative research. Artificial Intelligence. Machine Learning. Signal Processing. COMPUTERS / Intelligence (AI) & Semantics. bisacsh Adate, Amit, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhattacharyya, Siddhartha, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhattacharyya, Siddhartha, editor. edt http://id.loc.gov/vocabulary/relators/edt Bhaumik, Hrishikesh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bhaumik, Hrishikesh, editor. edt http://id.loc.gov/vocabulary/relators/edt Bick, Markus, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Blesik, Till, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Chakraborty, Susanta, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Choudhury, Abantika, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb De, Sourav, editor. edt http://id.loc.gov/vocabulary/relators/edt Deb, Moumita, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gorbachev, S. V., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Henesey, Lawrence, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ho, Chiung Ching, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mishra, Deepak, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Mukherjee, Anirban, editor. edt http://id.loc.gov/vocabulary/relators/edt Murawski, Matthias, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Nirala, Satish, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ponraj, D. Narain, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sagayam, K. Martin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sur, Surangam, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Tripathy, B. K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Vasanth, X. Ajay, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Vurucu, Murat, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2019 Part 1 9783110762464 Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 9783110719567 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE DG 2019 English 9783110616859 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English 9783110604252 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 9783110603255 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 English 9783110604023 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 9783110603118 ZDB-23-DEI EPUB 9783110550771 print 9783110550320 https://doi.org/10.1515/9783110551433 https://www.degruyter.com/isbn/9783110551433 Cover https://www.degruyter.com/document/cover/isbn/9783110551433/original |
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Adate, Amit, Adate, Amit, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bick, Markus, Bick, Markus, Blesik, Till, Blesik, Till, Chakraborty, Susanta, Chakraborty, Susanta, Choudhury, Abantika, Choudhury, Abantika, De, Sourav, De, Sourav, Deb, Moumita, Deb, Moumita, Gorbachev, S. V., Gorbachev, S. V., Henesey, Lawrence, Henesey, Lawrence, Ho, Chiung Ching, Ho, Chiung Ching, Mishra, Deepak, Mishra, Deepak, Mukherjee, Anirban, Mukherjee, Anirban, Murawski, Matthias, Murawski, Matthias, Nirala, Satish, Nirala, Satish, Ponraj, D. Narain, Ponraj, D. Narain, Sagayam, K. Martin, Sagayam, K. Martin, Sur, Surangam, Sur, Surangam, Tripathy, B. K., Tripathy, B. K., Vasanth, X. Ajay, Vasanth, X. Ajay, Vurucu, Murat, Vurucu, Murat, |
author_facet |
Adate, Amit, Adate, Amit, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhattacharyya, Siddhartha, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bhaumik, Hrishikesh, Bick, Markus, Bick, Markus, Blesik, Till, Blesik, Till, Chakraborty, Susanta, Chakraborty, Susanta, Choudhury, Abantika, Choudhury, Abantika, De, Sourav, De, Sourav, Deb, Moumita, Deb, Moumita, Gorbachev, S. V., Gorbachev, S. V., Henesey, Lawrence, Henesey, Lawrence, Ho, Chiung Ching, Ho, Chiung Ching, Mishra, Deepak, Mishra, Deepak, Mukherjee, Anirban, Mukherjee, Anirban, Murawski, Matthias, Murawski, Matthias, Nirala, Satish, Nirala, Satish, Ponraj, D. Narain, Ponraj, D. Narain, Sagayam, K. Martin, Sagayam, K. Martin, Sur, Surangam, Sur, Surangam, Tripathy, B. K., Tripathy, B. K., Vasanth, X. Ajay, Vasanth, X. Ajay, Vurucu, Murat, Vurucu, Murat, |
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author_sort |
Adate, Amit, |
title |
Machine Learning for Big Data Analysis / |
spellingShingle |
Machine Learning for Big Data Analysis / De Gruyter Frontiers in Computational Intelligence , Frontmatter -- Preface -- Contents -- 1. Applying big data analytics to psychometric micro-targeting -- 2. Keyframe selection for video indexing using an approximate minimal spanning tree -- 3. Deep learning techniques for image processing -- 4. Connecting cities using smart transportation: an overview -- 5. Model of intellectual analysis of multidimensional semi-structured data based on deep neuro-fuzzy networks -- 6. Image fusion in remote sensing based on sparse sampling method and PCNN techniques -- Index |
title_full |
Machine Learning for Big Data Analysis / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De. |
title_fullStr |
Machine Learning for Big Data Analysis / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De. |
title_full_unstemmed |
Machine Learning for Big Data Analysis / ed. by Siddhartha Bhattacharyya, Hrishikesh Bhaumik, Anirban Mukherjee, Sourav De. |
title_auth |
Machine Learning for Big Data Analysis / |
title_alt |
Frontmatter -- Preface -- Contents -- 1. Applying big data analytics to psychometric micro-targeting -- 2. Keyframe selection for video indexing using an approximate minimal spanning tree -- 3. Deep learning techniques for image processing -- 4. Connecting cities using smart transportation: an overview -- 5. Model of intellectual analysis of multidimensional semi-structured data based on deep neuro-fuzzy networks -- 6. Image fusion in remote sensing based on sparse sampling method and PCNN techniques -- Index |
title_new |
Machine Learning for Big Data Analysis / |
title_sort |
machine learning for big data analysis / |
series |
De Gruyter Frontiers in Computational Intelligence , |
series2 |
De Gruyter Frontiers in Computational Intelligence , |
publisher |
De Gruyter, |
publishDate |
2018 |
physical |
1 online resource (X, 183 p.) Issued also in print. |
contents |
Frontmatter -- Preface -- Contents -- 1. Applying big data analytics to psychometric micro-targeting -- 2. Keyframe selection for video indexing using an approximate minimal spanning tree -- 3. Deep learning techniques for image processing -- 4. Connecting cities using smart transportation: an overview -- 5. Model of intellectual analysis of multidimensional semi-structured data based on deep neuro-fuzzy networks -- 6. Image fusion in remote sensing based on sparse sampling method and PCNN techniques -- Index |
isbn |
9783110551433 9783110762464 9783110719567 9783110616859 9783110604252 9783110603255 9783110604023 9783110603118 9783110550771 9783110550320 |
issn |
2512-8868 ; |
callnumber-first |
Q - Science |
callnumber-subject |
QA - Mathematics |
callnumber-label |
QA76 |
callnumber-sort |
QA 276.9 B45 |
url |
https://doi.org/10.1515/9783110551433 https://www.degruyter.com/isbn/9783110551433 https://www.degruyter.com/document/cover/isbn/9783110551433/original |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
005 - Computer programming, programs & data |
dewey-full |
005.7 |
dewey-sort |
15.7 |
dewey-raw |
005.7 |
dewey-search |
005.7 |
doi_str_mv |
10.1515/9783110551433 |
oclc_num |
1044778434 |
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Title is part of eBook package: De Gruyter DG Plus DeG Package 2019 Part 1 Title is part of eBook package: De Gruyter DG Plus eBook-Package 2019 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE DG 2019 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 English Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2018 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 English Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2018 |
is_hierarchy_title |
Machine Learning for Big Data Analysis / |
container_title |
Title is part of eBook package: De Gruyter DG Plus DeG Package 2019 Part 1 |
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Latest research fi ndings are coupled with applications to varied domains of engineering and computer sciences. This field is steadily growing especially with the advent of novel machine learning algorithms being applied to different domains of engineering and technology. The series brings together leading researchers that intend to continue to advance the fi eld and create a broad knowledge about the most recent research.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 28. Feb 2023)</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Big data.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Machine learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Quantitative research.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Machine Learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Signal Processing.</subfield></datafield><datafield tag="650" ind1=" " ind2="7"><subfield code="a">COMPUTERS / Intelligence (AI) & Semantics.</subfield><subfield code="2">bisacsh</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Adate, Amit, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhattacharyya, Siddhartha, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhattacharyya, Siddhartha, </subfield><subfield code="e">editor.</subfield><subfield code="4">edt</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhaumik, Hrishikesh, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bhaumik, Hrishikesh, </subfield><subfield code="e">editor.</subfield><subfield code="4">edt</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Bick, Markus, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Blesik, Till, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Chakraborty, Susanta, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Choudhury, Abantika, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">De, Sourav, </subfield><subfield code="e">editor.</subfield><subfield code="4">edt</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Deb, Moumita, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gorbachev, S. V., </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Henesey, Lawrence, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ho, Chiung Ching, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mishra, Deepak, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Mukherjee, Anirban, </subfield><subfield code="e">editor.</subfield><subfield code="4">edt</subfield><subfield code="4">http://id.loc.gov/vocabulary/relators/edt</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Murawski, Matthias, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Nirala, Satish, </subfield><subfield code="e">contributor.</subfield><subfield code="4">ctb</subfield><subfield code="4">https://id.loc.gov/vocabulary/relators/ctb</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Ponraj, D. 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