|
|
|
|
| LEADER |
04998cam a2200589 4500 |
| 001 |
183-1751340066 |
| 003 |
DE-627 |
| 005 |
20210620231257.0 |
| 007 |
tu |
| 008 |
210315s2021 sz ||||| 00| ||eng c |
| 020 |
|
|
|a 3030506401
|c hardcover
|9 3-030-50640-1
|
| 020 |
|
|
|a 9783030506407
|c hardcover
|9 978-3-030-50640-7
|
| 020 |
|
|
|z 9783030506414
|
| 035 |
|
|
|a (DE-627)1751340066
|
| 035 |
|
|
|a (DE-599)KXP1751340066
|
| 035 |
|
|
|a (OCoLC)1183707493
|
| 040 |
|
|
|a DE-627
|b ger
|c DE-627
|e rda
|
| 041 |
|
|
|a eng
|
| 044 |
|
|
|c XA-CH
|
| 050 |
|
0 |
|a Q342
|
| 082 |
0 |
|
|a 006.3/1
|
| 084 |
|
|
|a 54.72
|2 bkl
|
| 245 |
1 |
0 |
|a Machine learning algorithms for industrial applications
|c Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors
|
| 264 |
|
1 |
|a Cham, Switzerland
|b Springer
|c [2021]
|
| 300 |
|
|
|a xvii, 315 pages
|b illustrations
|c 24 cm
|
| 336 |
|
|
|a Text
|b txt
|2 rdacontent
|
| 337 |
|
|
|a ohne Hilfsmittel zu benutzen
|b n
|2 rdamedia
|
| 338 |
|
|
|a Band
|b nc
|2 rdacarrier
|
| 490 |
1 |
|
|a Studies in computational intelligence
|v volume 907
|
| 500 |
|
|
|a Includes bibliographical references
|
| 520 |
|
|
|a Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis.
|
| 520 |
|
|
|a This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners
|
| 540 |
|
|
|a Current copyright fee: GBP19.00
|
| 650 |
|
0 |
|a Machine learning
|
| 650 |
|
0 |
|a Artificial intelligence
|x Industrial applications
|
| 650 |
|
4 |
|a Artificial intelligence ; Industrial applications
|
| 650 |
|
4 |
|a Machine learning
|
| 689 |
0 |
0 |
|D s
|0 (DE-588)4193754-5
|0 (DE-627)105224782
|0 (DE-576)21008944X
|a Maschinelles Lernen
|2 gnd
|
| 689 |
0 |
1 |
|D s
|0 (DE-588)4802620-7
|0 (DE-627)472310364
|0 (DE-576)216543657
|a Big Data
|2 gnd
|
| 689 |
0 |
2 |
|D s
|0 (DE-588)4123037-1
|0 (DE-627)105758051
|0 (DE-576)209556331
|a Datenanalyse
|2 gnd
|
| 689 |
0 |
|
|5 (DE-627)
|
| 700 |
1 |
|
|a Das, Santosh Kumar
|e HerausgeberIn
|0 (DE-588)1215285523
|0 (DE-627)1726570940
|4 edt
|
| 700 |
1 |
|
|a Das, Shom Prasad
|e HerausgeberIn
|4 edt
|
| 700 |
1 |
|
|a Dey, Nilanjan
|d 1984-
|e HerausgeberIn
|0 (DE-588)1104273500
|0 (DE-627)861751094
|0 (DE-576)470909684
|4 edt
|
| 700 |
1 |
|
|a Hassanien, Aboul Ella
|d 1964-
|e HerausgeberIn
|0 (DE-588)135922631
|0 (DE-627)616740891
|0 (DE-576)28156521X
|4 edt
|
| 830 |
|
0 |
|a Studies in computational intelligence
|v volume 907
|9 907
|w (DE-627)498966216
|w (DE-576)117828025
|w (DE-600)2202445-1
|x 1860-949X
|7 ns
|
| 856 |
4 |
2 |
|u https://www.gbv.de/dms/tib-ub-hannover/1751340066.pdf
|m V:DE-601
|m B:DE-89
|q pdf/application
|3 Inhaltsverzeichnis
|
| 856 |
4 |
2 |
|u http://link.springer.com/
|x Verlag
|3 1850-9999
|
| 924 |
0 |
|
|a 3889123945
|b DE-89
|9 89
|c GBV
|d c
|g RS 5317(907)
|
| 936 |
b |
k |
|a 54.72
|j Künstliche Intelligenz
|0 (DE-627)10641240X
|
| 951 |
|
|
|a BO
|
| 980 |
|
|
|a 1751340066
|b 183
|c sid-183-col-kxpbbi
|
SOLR
| _version_ |
1797788662769909760 |
| author2 |
Das, Santosh Kumar, Das, Shom Prasad, Dey, Nilanjan, Hassanien, Aboul Ella |
| author2_role |
edt, edt, edt, edt |
| author2_variant |
s k d sk skd, s p d sp spd, n d nd, a e h ae aeh |
| author_facet |
Das, Santosh Kumar, Das, Shom Prasad, Dey, Nilanjan, Hassanien, Aboul Ella |
| building |
Library A |
| callnumber-first |
Q - Science |
| callnumber-label |
Q342 |
| callnumber-raw |
Q342 |
| callnumber-search |
Q342 |
| callnumber-sort |
Q 3342 |
| callnumber-subject |
Q - General Science |
| collection |
sid-183-col-kxpbbi |
| contents |
Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis., This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners |
| ctrlnum |
(DE-627)1751340066, (DE-599)KXP1751340066, (OCoLC)1183707493 |
| dewey-full |
006.3/1 |
| dewey-hundreds |
000 - Computer science, information, general works |
| dewey-ones |
006 - Special computer methods |
| dewey-raw |
006.3/1 |
| dewey-search |
006.3/1 |
| dewey-sort |
16.3 11 |
| dewey-tens |
000 - Computer science, information, general works |
| facet_avail |
Local |
| facet_local_del330 |
Maschinelles Lernen, Big Data, Datenanalyse |
| finc_class_facet |
Informatik, Allgemeine Naturwissenschaft |
| fincclass_txtF_mv |
science-computerscience |
| footnote |
Includes bibliographical references |
| format |
Book |
| format_access_txtF_mv |
Book, E-Book |
| format_de14 |
Book, E-Book |
| format_de15 |
Book, E-Book |
| format_del152 |
Buch |
| format_detail_txtF_mv |
text-print-monograph-independent |
| format_dezi4 |
e-Book |
| format_finc |
Book, E-Book |
| format_legacy |
Book |
| format_legacy_nrw |
Book, E-Book |
| format_nrw |
Book, E-Book |
| format_strict_txtF_mv |
Book |
| geogr_code |
not assigned |
| geogr_code_person |
not assigned |
| hierarchy_parent_id |
183-498966216 |
| hierarchy_parent_title |
Studies in computational intelligence |
| hierarchy_sequence |
907 |
| hierarchy_top_id |
183-498966216 |
| hierarchy_top_title |
Studies in computational intelligence |
| id |
183-1751340066 |
| illustrated |
Not Illustrated |
| imprint |
Cham, Switzerland, Springer, [2021] |
| imprint_str_mv |
Cham, Switzerland: Springer, [2021] |
| institution |
FID-BBI-DE-23 |
| is_hierarchy_id |
183-1751340066 |
| is_hierarchy_title |
Machine learning algorithms for industrial applications |
| isbn |
3030506401, 9783030506407 |
| isbn_isn_mv |
9783030506414 |
| issn_isn_mv |
1860-949X |
| language |
English |
| last_indexed |
2024-04-30T19:21:12.422Z |
| marc_error |
[geogr_code]Unable to make public java.lang.AbstractStringBuilder java.lang.AbstractStringBuilder.append(java.lang.String) accessible: module java.base does not "opens java.lang" to unnamed module @64e01542 |
| match_str |
das2021machinelearningalgorithmsforindustrialapplications |
| mega_collection |
K10plus Verbundkatalog |
| multipart_link |
117828025 |
| multipart_part |
(117828025)volume 907 |
| oclc_num |
1183707493 |
| physical |
xvii, 315 pages; illustrations; 24 cm |
| publishDate |
[2021] |
| publishDateSort |
2021 |
| publishPlace |
Cham, Switzerland |
| publisher |
Springer |
| record_format |
marcfinc |
| record_id |
1751340066 |
| recordtype |
marcfinc |
| rvk_facet |
No subject assigned |
| series |
Studies in computational intelligence, volume 907 |
| series2 |
Studies in computational intelligence ; volume 907 |
| source_id |
183 |
| spelling |
Machine learning algorithms for industrial applications Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors, Cham, Switzerland Springer [2021], xvii, 315 pages illustrations 24 cm, Text txt rdacontent, ohne Hilfsmittel zu benutzen n rdamedia, Band nc rdacarrier, Studies in computational intelligence volume 907, Includes bibliographical references, Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis., This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners, Current copyright fee: GBP19.00, Machine learning, Artificial intelligence Industrial applications, Artificial intelligence ; Industrial applications, s (DE-588)4193754-5 (DE-627)105224782 (DE-576)21008944X Maschinelles Lernen gnd, s (DE-588)4802620-7 (DE-627)472310364 (DE-576)216543657 Big Data gnd, s (DE-588)4123037-1 (DE-627)105758051 (DE-576)209556331 Datenanalyse gnd, (DE-627), Das, Santosh Kumar HerausgeberIn (DE-588)1215285523 (DE-627)1726570940 edt, Das, Shom Prasad HerausgeberIn edt, Dey, Nilanjan 1984- HerausgeberIn (DE-588)1104273500 (DE-627)861751094 (DE-576)470909684 edt, Hassanien, Aboul Ella 1964- HerausgeberIn (DE-588)135922631 (DE-627)616740891 (DE-576)28156521X edt, Studies in computational intelligence volume 907 907 (DE-627)498966216 (DE-576)117828025 (DE-600)2202445-1 1860-949X ns, https://www.gbv.de/dms/tib-ub-hannover/1751340066.pdf V:DE-601 B:DE-89 pdf/application Inhaltsverzeichnis, http://link.springer.com/ Verlag 1850-9999 |
| spellingShingle |
Machine learning algorithms for industrial applications, Studies in computational intelligence, volume 907, Part I: Natural Language Processing -- A Hybrid Feature Selection Approach Based on LSI for Classification of Urdu Text -- Automated Document Categorization Model -- Automated Categorization & Mining Tweets for Disaster Management -- Sentiment Analysis in Airline Data: Customer Rating Based Recommendation Prediction using WEKA -- Part II: Computer Vision -- Image Inpainting for Irregular Holes using Extreme Learning Machine -- OCR using Computer Vision and Machine Learning -- Few Shot Learning for Medical Imaging -- Hyperspectral Remote Sensing Image Classification using Active Learning -- A Smart Document Converter: Conversion of Handwritten Text Document to Computerized Text Document -- GRNN Based An Intelligent Technique for Image Inpainting -- Part III: Data Analysis and Prediction -- Content-Based Airline Recommendation Prediction using Machine Learning Techniques -- Meta-heuristic Based Approach for Slope Stability Analysis to Design an Optimal Soil Slope -- An Application of Operational Analytics: for Predicting Sales Revenue of Restaurant -- Application of Machine Learning Algorithm for Anomaly Detection for Industrial Pumps -- Part IV: Decision Making System -- Fast Accessing Non-volatile, High Performance-High Density, Optimized Array for Machine Learning Processor -- Long Term Evolution for Secured Smart Railway Communications using Internet of Things -- Application of the Flower Pollination Algorithm to Locate Critical Failure Surface for Slope Stability Analysis., This book explores several problems and their solutions regarding data analysis and prediction for industrial applications. Machine learning is a prominent topic in modern industries: its influence can be felt in many aspects of everyday life, as the world rapidly embraces big data and data analytics. Accordingly, there is a pressing need for novel and innovative algorithms to help us find effective solutions in industrial application areas such as media, healthcare, travel, finance, and retail. In all of these areas, data is the crucial parameter, and the main key to unlocking the value of industry. The book presents a range of intelligent algorithms that can be used to filter useful information in the above-mentioned application areas and efficiently solve particular problems. Its main objective is to raise awareness for this important field among students, researchers, and industrial practitioners, Machine learning, Artificial intelligence Industrial applications, Artificial intelligence ; Industrial applications, Maschinelles Lernen, Big Data, Datenanalyse |
| title |
Machine learning algorithms for industrial applications |
| title_auth |
Machine learning algorithms for industrial applications |
| title_full |
Machine learning algorithms for industrial applications Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors |
| title_fullStr |
Machine learning algorithms for industrial applications Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors |
| title_full_unstemmed |
Machine learning algorithms for industrial applications Santosh Kumar Das, Shom Prasad Das, Nilanjan Dey, Aboul-Ella Hassanien, editors |
| title_in_hierarchy |
volume 907. Machine learning algorithms for industrial applications ([2021]) |
| title_short |
Machine learning algorithms for industrial applications |
| title_sort |
machine learning algorithms for industrial applications |
| title_unstemmed |
Machine learning algorithms for industrial applications |
| topic |
Machine learning, Artificial intelligence Industrial applications, Artificial intelligence ; Industrial applications, Maschinelles Lernen, Big Data, Datenanalyse |
| topic_facet |
Machine learning, Artificial intelligence, Artificial intelligence ; Industrial applications, Industrial applications, Maschinelles Lernen, Big Data, Datenanalyse |
| url |
https://www.gbv.de/dms/tib-ub-hannover/1751340066.pdf, http://link.springer.com/ |
| work_keys_str_mv |
AT dassantoshkumar machinelearningalgorithmsforindustrialapplications, AT dasshomprasad machinelearningalgorithmsforindustrialapplications, AT deynilanjan machinelearningalgorithmsforindustrialapplications, AT hassanienaboulella machinelearningalgorithmsforindustrialapplications |