000 | 04089nam a22006495i 4500 | ||
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001 | 978-3-030-43981-1 | ||
003 | DE-He213 | ||
005 | 20220801213928.0 | ||
007 | cr nn 008mamaa | ||
008 | 200708s2020 sz | s |||| 0|eng d | ||
020 |
_a9783030439811 _9978-3-030-43981-1 |
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024 | 7 |
_a10.1007/978-3-030-43981-1 _2doi |
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_a621.382 _223 |
245 | 1 | 0 |
_aPrinciples of Data Science _h[electronic resource] / _cedited by Hamid R. Arabnia, Kevin Daimi, Robert Stahlbock, Cristina Soviany, Leonard Heilig, Kai Brüssau. |
250 | _a1st ed. 2020. | ||
264 | 1 |
_aCham : _bSpringer International Publishing : _bImprint: Springer, _c2020. |
|
300 |
_aXIV, 276 p. 102 illus., 55 illus. in color. _bonline resource. |
||
336 |
_atext _btxt _2rdacontent |
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337 |
_acomputer _bc _2rdamedia |
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338 |
_aonline resource _bcr _2rdacarrier |
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347 |
_atext file _bPDF _2rda |
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490 | 1 |
_aTransactions on Computational Science and Computational Intelligence, _x2569-7080 |
|
505 | 0 | _aIntroduction -- Data Acquisition, Extraction, and Cleaning -- Data Summarization and Modeling -- Data Analysis and Communication Techniques -- Data Science Tools -- Deep Learning in Data Science -- Data Science Applications -- Conclusion. | |
520 | _aThis book provides readers with a thorough understanding of various research areas within the field of data science. The book introduces readers to various techniques for data acquisition, extraction, and cleaning, data summarizing and modeling, data analysis and communication techniques, data science tools, deep learning, and various data science applications. Researchers can extract and conclude various future ideas and topics that could result in potential publications or thesis. Furthermore, this book contributes to Data Scientists’ preparation and to enhancing their knowledge of the field. The book provides a rich collection of manuscripts in highly regarded data science topics, edited by professors with long experience in the field of data science. Introduces various techniques, methods, and algorithms adopted by Data Science experts Provides a detailed explanation of data science perceptions, reinforced by practical examples Presents a road map of future trends suitable for innovative data science research and practice. | ||
650 | 0 |
_aTelecommunication. _910437 |
|
650 | 0 |
_aComputational intelligence. _97716 |
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650 | 0 |
_aInformation storage and retrieval systems. _922213 |
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650 | 0 |
_aPattern recognition systems. _93953 |
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650 | 0 |
_aQuantitative research. _94633 |
|
650 | 1 | 4 |
_aCommunications Engineering, Networks. _931570 |
650 | 2 | 4 |
_aComputational Intelligence. _97716 |
650 | 2 | 4 |
_aInformation Storage and Retrieval. _923927 |
650 | 2 | 4 |
_aAutomated Pattern Recognition. _931568 |
650 | 2 | 4 |
_aData Analysis and Big Data. _935274 |
700 | 1 |
_aArabnia, Hamid R. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935275 |
|
700 | 1 |
_aDaimi, Kevin. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935276 |
|
700 | 1 |
_aStahlbock, Robert. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935277 |
|
700 | 1 |
_aSoviany, Cristina. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935278 |
|
700 | 1 |
_aHeilig, Leonard. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935279 |
|
700 | 1 |
_aBrüssau, Kai. _eeditor. _4edt _4http://id.loc.gov/vocabulary/relators/edt _935280 |
|
710 | 2 |
_aSpringerLink (Online service) _935281 |
|
773 | 0 | _tSpringer Nature eBook | |
776 | 0 | 8 |
_iPrinted edition: _z9783030439804 |
776 | 0 | 8 |
_iPrinted edition: _z9783030439828 |
776 | 0 | 8 |
_iPrinted edition: _z9783030439835 |
830 | 0 |
_aTransactions on Computational Science and Computational Intelligence, _x2569-7080 _935282 |
|
856 | 4 | 0 | _uhttps://doi.org/10.1007/978-3-030-43981-1 |
912 | _aZDB-2-ENG | ||
912 | _aZDB-2-SXE | ||
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