Data science and data analytics : opportunities and challenges

Bibliographische Detailangaben

Titel
Data science and data analytics opportunities and challenges
verantwortlich
Tyagi, Amit Kumar (HerausgeberIn)
Ausgabe
1st
veröffentlicht
Boca Raton: Chapman & Hall/CRC, 2021
Erscheinungsjahr
2021
Medientyp
E-Book
Datenquelle
British National Bibliography
Tags
Tag hinzufügen

Zugang

Für diesen Titel können wir derzeit leider keine weiteren Informationen zur Verfügbarkeit bereitstellen.

LEADER 05896pam a22004091i 4500
001 180-020226481
003 Uk
005 20211004020752.0
006 m || d |
007 cr |||||||||||
008 210608s2021 flua ob 001|0|eng|d
015 |a GBC196269  |2 bnb 
020 |a 9781000423228 (ePub ebook) :  |c £44.99 
020 |z 9780367628826 (hbk.) :  |c £140.00 
020 |a 9781000423198 (PDF ebook) :  |c £44.99 
020 |a 9781003111290 (ebook) :  |c £44.99 
024 7 |a 10.1201/9781003111290  |2 doi 
037 |a 9781000423228  |b Ingram Content Group 
040 |a StDuBDS  |b eng  |c StDuBDS  |d Uk  |e rda  |e pn 
042 |a ukblsr 
082 0 4 |a 005.7  |2 23 
245 0 0 |a Data science and data analytics  |b opportunities and challenges  |c edited by Amit Kumar Tyagi 
250 |a 1st 
264 1 |a Boca Raton  |b Chapman & Hall/CRC  |c 2021 
300 |a 1 online resource :  |b illustrations (black and white) 
336 |a text  |2 rdacontent 
336 |a still image  |2 rdacontent 
337 |a computer  |2 rdamedia 
338 |a online resource  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
588 |a Description based on CIP data; resource not viewed. 
505 0 |a <P><STRONG>Section I: Introduction about Data Science and Data Analytics</STRONG></P><P>1. Data Science and Data Analytics: Artificial Intelligence and Machine Learning Integrated Based Approach</P><I><P>Sumika Chauhan, Manmohan Singh, and Ashwani Kumar Aggarwal</P></I><P>2. IoT Analytics/Data Science for IoT</P><I><P>T. Perarasi, R. Gayathri, M. Leeban Moses, and B. Vinoth</P></I><P>3. A Model to Identify Agriculture Production Using Data Science Techniques</P><I><P>D. Anantha Reddy, Sanjay Kumar, and Rakesh Tripathi</P></I><P>4. Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques</P><I><P>Anisha P. Rodrigues, Joyston Menezes, Roshan Fernandes, Aishwarya, Niranjan N. Chiplunkar, and Vijaya Padmanabha</P></I><B><P>Section II Algorithms, Methods, and Tools for Data Science and Data Analytics</P></B><P>5. Crop Models and Decision Support Systems Using Machine Learning</P><I><P>B. Vignesh and G. Suganya</P></I><P>6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest</P><I><P>Arunakumari B. N., Aman Rai, and Shashidhar R.</P></I><P>7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning</P><I><P>Farhan Hai Khan and Tannistha Pal</P></I><P>8. Hybrid Cellular Automata Models for Discrete Dynamical Systems</P><I><P>Sreeya Ghosh and Sumita Basu</P></I><P>9. An Efficient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets</P><I><P>S. Radhika, A. Chandrasekar, and Felix Albu</P></I><P>10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models</P><I><P>Aruna Pavate and Rajesh Bansode</P></I><B><P>Section III: Applications of Data Science and Data Analytics</P></B><P>11. Wheat Rust Disease Detection Using Deep Learning</P><I><P>Sudhir Kumar Mohapatra, Srinivas Prasad, and Sarat Chandra Nayak</P></I><P>12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classification of Chronic Obstructive Pulmonary Disease</P><I><P>Sridevi U. K., Sophia S., Boselin Prabhu S.R., Zubair Baig, and P. Thamaraiselvi</P></I><P>13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods</P><I><P>V. Kakulapati, BasavaRaju Kachapuram, Appiah Prince, and P. Shiva Kalyan</P></I><P>14. A Tier-based Educational Analytics Framework</P><I><P>Javed Nazura and Paul Anand</P></I><P>15. Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images</P><I><P>Saikat Islam Khan, Pulak Kanti Bhowmicka, Nazrul Islama, Mostofa Kamal Nasira, and Jia Uddin</P></I><P>16. Prediction of Acoustic Performance Using Machine Learning Techniques</P><I><P>Ratnavel Rajalakshmi, S. Jeyanthi, Yuvaraj L., Pradeep M., Jeyakrishna S., and Abhishek Krishnaswami</P></I><B><P>Section IV: Issue and Challenges in Data Science and Data Analytics</P></B><P>17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony</P><I><P>Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, and V. Kanchana Devi</P></I><P>18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks</P><I><P>Molla Ramizur Rahman</P></I><P>19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments</P><I><P>S. Kumar Chandar, Hitesh Punjabi, Mahesh Kumar Sharda, and Jehan Murugadhas</P></I><P>20. Churn Prediction in Banking the Sector</P><I><P>Shreyas Hingmire, Jawwad Khan, Ashutosh Pandey, and Aruna Pavate</P></I><P>21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems</P><I><P>Raswitha Bandi and K. Tejaswini</P></I><B><P>Section V: Future Research Opportunities towards Data Science and Data Analytics</P></B><P>22. Dialect Identification of the Bengali Language</P><I><P>Elizabeth Behrman, Arijit Santra, Siladitya Sarkar, Prantik Roy, Ritika Yadav, Soumi Dutta, and Arijit Ghosal</P></I><P>23. Real-Time Security Using Computer Vision</P><I><P>Bijoy Kumar Mandal and Niloy Sarkar</P></I><P>24. Data Analytics for Detecting DDoS Attacks in Network Traffic</P><I><P>Ciza Thomas and Rejimol Robinson R.R.</P></I><P>25. Detection of Patterns in Attributed Graph Using Graph Mining</P><I><P>Bapuji Rao</P></I><P>26. Analysis and Prediction of the Update of Mobile Android Version</P><I><P>Aparna Mohan and R. Maheswari</P></I> 
650 0 |a Big data. 
700 1 |a Tyagi, Amit Kumar  |d 1988-  |e editor. 
776 0 8 |i Print version :  |z 9780367628826 
859 |a ELD  |b ebook 
980 |a 020226481  |b 180  |c sid-180-col-bnbfidbbi 
openURL url_ver=Z39.88-2004&ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fkatalog.fid-bbi.de%3Agenerator&rft.title=Data+science+and+data+analytics%3A+opportunities+and+challenges&rft.date=2021&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Abook&rft.genre=book&rft.btitle=Data+science+and+data+analytics%3A+opportunities+and+challenges&rft.au=&rft.pub=Chapman+%26+Hall%2FCRC&rft.edition=1st&rft.isbn=1000423220
SOLR
_version_ 1778756513756610560
access_facet Electronic Resources
author2 Tyagi, Amit Kumar
author2_role edt
author2_variant a k t ak akt
author_facet Tyagi, Amit Kumar
building Library A
callnumber-sort
collection sid-180-col-bnbfidbbi
contents <P><STRONG>Section I: Introduction about Data Science and Data Analytics</STRONG></P><P>1. Data Science and Data Analytics: Artificial Intelligence and Machine Learning Integrated Based Approach</P><I><P>Sumika Chauhan, Manmohan Singh, and Ashwani Kumar Aggarwal</P></I><P>2. IoT Analytics/Data Science for IoT</P><I><P>T. Perarasi, R. Gayathri, M. Leeban Moses, and B. Vinoth</P></I><P>3. A Model to Identify Agriculture Production Using Data Science Techniques</P><I><P>D. Anantha Reddy, Sanjay Kumar, and Rakesh Tripathi</P></I><P>4. Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques</P><I><P>Anisha P. Rodrigues, Joyston Menezes, Roshan Fernandes, Aishwarya, Niranjan N. Chiplunkar, and Vijaya Padmanabha</P></I><B><P>Section II Algorithms, Methods, and Tools for Data Science and Data Analytics</P></B><P>5. Crop Models and Decision Support Systems Using Machine Learning</P><I><P>B. Vignesh and G. Suganya</P></I><P>6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest</P><I><P>Arunakumari B. N., Aman Rai, and Shashidhar R.</P></I><P>7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning</P><I><P>Farhan Hai Khan and Tannistha Pal</P></I><P>8. Hybrid Cellular Automata Models for Discrete Dynamical Systems</P><I><P>Sreeya Ghosh and Sumita Basu</P></I><P>9. An Efficient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets</P><I><P>S. Radhika, A. Chandrasekar, and Felix Albu</P></I><P>10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models</P><I><P>Aruna Pavate and Rajesh Bansode</P></I><B><P>Section III: Applications of Data Science and Data Analytics</P></B><P>11. Wheat Rust Disease Detection Using Deep Learning</P><I><P>Sudhir Kumar Mohapatra, Srinivas Prasad, and Sarat Chandra Nayak</P></I><P>12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classification of Chronic Obstructive Pulmonary Disease</P><I><P>Sridevi U. K., Sophia S., Boselin Prabhu S.R., Zubair Baig, and P. Thamaraiselvi</P></I><P>13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods</P><I><P>V. Kakulapati, BasavaRaju Kachapuram, Appiah Prince, and P. Shiva Kalyan</P></I><P>14. A Tier-based Educational Analytics Framework</P><I><P>Javed Nazura and Paul Anand</P></I><P>15. Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images</P><I><P>Saikat Islam Khan, Pulak Kanti Bhowmicka, Nazrul Islama, Mostofa Kamal Nasira, and Jia Uddin</P></I><P>16. Prediction of Acoustic Performance Using Machine Learning Techniques</P><I><P>Ratnavel Rajalakshmi, S. Jeyanthi, Yuvaraj L., Pradeep M., Jeyakrishna S., and Abhishek Krishnaswami</P></I><B><P>Section IV: Issue and Challenges in Data Science and Data Analytics</P></B><P>17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony</P><I><P>Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, and V. Kanchana Devi</P></I><P>18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks</P><I><P>Molla Ramizur Rahman</P></I><P>19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments</P><I><P>S. Kumar Chandar, Hitesh Punjabi, Mahesh Kumar Sharda, and Jehan Murugadhas</P></I><P>20. Churn Prediction in Banking the Sector</P><I><P>Shreyas Hingmire, Jawwad Khan, Ashutosh Pandey, and Aruna Pavate</P></I><P>21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems</P><I><P>Raswitha Bandi and K. Tejaswini</P></I><B><P>Section V: Future Research Opportunities towards Data Science and Data Analytics</P></B><P>22. Dialect Identification of the Bengali Language</P><I><P>Elizabeth Behrman, Arijit Santra, Siladitya Sarkar, Prantik Roy, Ritika Yadav, Soumi Dutta, and Arijit Ghosal</P></I><P>23. Real-Time Security Using Computer Vision</P><I><P>Bijoy Kumar Mandal and Niloy Sarkar</P></I><P>24. Data Analytics for Detecting DDoS Attacks in Network Traffic</P><I><P>Ciza Thomas and Rejimol Robinson R.R.</P></I><P>25. Detection of Patterns in Attributed Graph Using Graph Mining</P><I><P>Bapuji Rao</P></I><P>26. Analysis and Prediction of the Update of Mobile Android Version</P><I><P>Aparna Mohan and R. Maheswari</P></I>
dewey-full 005.7
dewey-hundreds 000 - Computer science, information & general works
dewey-ones 005 - Computer programming, programs & data
dewey-raw 005.7
dewey-search 005.7
dewey-sort 15.7
dewey-tens 000 - Computer science, knowledge & systems
doi_str_mv 10.1201/9781003111290
edition 1st
facet_avail Online
finc_class_facet Informatik
fincclass_txtF_mv science-computerscience
format eBook
format_access_txtF_mv Book, E-Book
format_de105 Ebook
format_de14 Book, E-Book
format_de15 Book, E-Book
format_del152 Buch
format_detail_txtF_mv text-online-monograph-independent
format_dezi4 e-Book
format_finc Book, E-Book
format_legacy ElectronicBook
format_legacy_nrw Book, E-Book
format_nrw Book, E-Book
format_strict_txtF_mv E-Book
geogr_code not assigned
geogr_code_person not assigned
id 180-020226481
illustrated Illustrated
imprint Boca Raton, Chapman & Hall/CRC, 2021
imprint_str_mv Boca Raton Chapman & Hall/CRC 2021
institution FID-BBI-DE-23
is_hierarchy_id
is_hierarchy_title
isbn 9781000423228 (ePub ebook) :, 9781000423198 (PDF ebook) :, 9781003111290 (ebook) :
isbn_isn_mv 9780367628826 (hbk.) :, 9780367628826
isil_str_mv FID-BBI-DE-23
language English
last_indexed 2023-10-03T17:33:21.712Z
marc024a_ct_mv 10.1201/9781003111290
match_str tyagi2021datascienceanddataanalyticsopportunitiesandchallenges
mega_collection British National Bibliography
physical 1 online resource; illustrations (black and white)
publishDate 2021
publishDateSort 2021
publishPlace Boca Raton
publisher Chapman & Hall/CRC
record_format marcfinc
record_id 020226481
recordtype marcfinc
rvk_facet No subject assigned
source_id 180
spelling Data science and data analytics opportunities and challenges edited by Amit Kumar Tyagi, 1st, Boca Raton Chapman & Hall/CRC 2021, 1 online resource : illustrations (black and white), text rdacontent, still image rdacontent, computer rdamedia, online resource rdacarrier, Includes bibliographical references and index., Description based on CIP data; resource not viewed., <P><STRONG>Section I: Introduction about Data Science and Data Analytics</STRONG></P><P>1. Data Science and Data Analytics: Artificial Intelligence and Machine Learning Integrated Based Approach</P><I><P>Sumika Chauhan, Manmohan Singh, and Ashwani Kumar Aggarwal</P></I><P>2. IoT Analytics/Data Science for IoT</P><I><P>T. Perarasi, R. Gayathri, M. Leeban Moses, and B. Vinoth</P></I><P>3. A Model to Identify Agriculture Production Using Data Science Techniques</P><I><P>D. Anantha Reddy, Sanjay Kumar, and Rakesh Tripathi</P></I><P>4. Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques</P><I><P>Anisha P. Rodrigues, Joyston Menezes, Roshan Fernandes, Aishwarya, Niranjan N. Chiplunkar, and Vijaya Padmanabha</P></I><B><P>Section II Algorithms, Methods, and Tools for Data Science and Data Analytics</P></B><P>5. Crop Models and Decision Support Systems Using Machine Learning</P><I><P>B. Vignesh and G. Suganya</P></I><P>6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest</P><I><P>Arunakumari B. N., Aman Rai, and Shashidhar R.</P></I><P>7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning</P><I><P>Farhan Hai Khan and Tannistha Pal</P></I><P>8. Hybrid Cellular Automata Models for Discrete Dynamical Systems</P><I><P>Sreeya Ghosh and Sumita Basu</P></I><P>9. An Efficient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets</P><I><P>S. Radhika, A. Chandrasekar, and Felix Albu</P></I><P>10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models</P><I><P>Aruna Pavate and Rajesh Bansode</P></I><B><P>Section III: Applications of Data Science and Data Analytics</P></B><P>11. Wheat Rust Disease Detection Using Deep Learning</P><I><P>Sudhir Kumar Mohapatra, Srinivas Prasad, and Sarat Chandra Nayak</P></I><P>12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classification of Chronic Obstructive Pulmonary Disease</P><I><P>Sridevi U. K., Sophia S., Boselin Prabhu S.R., Zubair Baig, and P. Thamaraiselvi</P></I><P>13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods</P><I><P>V. Kakulapati, BasavaRaju Kachapuram, Appiah Prince, and P. Shiva Kalyan</P></I><P>14. A Tier-based Educational Analytics Framework</P><I><P>Javed Nazura and Paul Anand</P></I><P>15. Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images</P><I><P>Saikat Islam Khan, Pulak Kanti Bhowmicka, Nazrul Islama, Mostofa Kamal Nasira, and Jia Uddin</P></I><P>16. Prediction of Acoustic Performance Using Machine Learning Techniques</P><I><P>Ratnavel Rajalakshmi, S. Jeyanthi, Yuvaraj L., Pradeep M., Jeyakrishna S., and Abhishek Krishnaswami</P></I><B><P>Section IV: Issue and Challenges in Data Science and Data Analytics</P></B><P>17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony</P><I><P>Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, and V. Kanchana Devi</P></I><P>18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks</P><I><P>Molla Ramizur Rahman</P></I><P>19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments</P><I><P>S. Kumar Chandar, Hitesh Punjabi, Mahesh Kumar Sharda, and Jehan Murugadhas</P></I><P>20. Churn Prediction in Banking the Sector</P><I><P>Shreyas Hingmire, Jawwad Khan, Ashutosh Pandey, and Aruna Pavate</P></I><P>21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems</P><I><P>Raswitha Bandi and K. Tejaswini</P></I><B><P>Section V: Future Research Opportunities towards Data Science and Data Analytics</P></B><P>22. Dialect Identification of the Bengali Language</P><I><P>Elizabeth Behrman, Arijit Santra, Siladitya Sarkar, Prantik Roy, Ritika Yadav, Soumi Dutta, and Arijit Ghosal</P></I><P>23. Real-Time Security Using Computer Vision</P><I><P>Bijoy Kumar Mandal and Niloy Sarkar</P></I><P>24. Data Analytics for Detecting DDoS Attacks in Network Traffic</P><I><P>Ciza Thomas and Rejimol Robinson R.R.</P></I><P>25. Detection of Patterns in Attributed Graph Using Graph Mining</P><I><P>Bapuji Rao</P></I><P>26. Analysis and Prediction of the Update of Mobile Android Version</P><I><P>Aparna Mohan and R. Maheswari</P></I>, Big data., Tyagi, Amit Kumar 1988- editor., Print version : 9780367628826, ELD ebook
spellingShingle Data science and data analytics: opportunities and challenges, <P><STRONG>Section I: Introduction about Data Science and Data Analytics</STRONG></P><P>1. Data Science and Data Analytics: Artificial Intelligence and Machine Learning Integrated Based Approach</P><I><P>Sumika Chauhan, Manmohan Singh, and Ashwani Kumar Aggarwal</P></I><P>2. IoT Analytics/Data Science for IoT</P><I><P>T. Perarasi, R. Gayathri, M. Leeban Moses, and B. Vinoth</P></I><P>3. A Model to Identify Agriculture Production Using Data Science Techniques</P><I><P>D. Anantha Reddy, Sanjay Kumar, and Rakesh Tripathi</P></I><P>4. Identification and Classification of Paddy Crop Diseases Using Big Data Machine Learning Techniques</P><I><P>Anisha P. Rodrigues, Joyston Menezes, Roshan Fernandes, Aishwarya, Niranjan N. Chiplunkar, and Vijaya Padmanabha</P></I><B><P>Section II Algorithms, Methods, and Tools for Data Science and Data Analytics</P></B><P>5. Crop Models and Decision Support Systems Using Machine Learning</P><I><P>B. Vignesh and G. Suganya</P></I><P>6. An Ameliorated Methodology to Predict Diabetes Mellitus Using Random Forest</P><I><P>Arunakumari B. N., Aman Rai, and Shashidhar R.</P></I><P>7. High Dimensionality Dataset Reduction Methodologies in Applied Machine Learning</P><I><P>Farhan Hai Khan and Tannistha Pal</P></I><P>8. Hybrid Cellular Automata Models for Discrete Dynamical Systems</P><I><P>Sreeya Ghosh and Sumita Basu</P></I><P>9. An Efficient Imputation Strategy Based on Adaptive Filter for Large Missing Value Datasets</P><I><P>S. Radhika, A. Chandrasekar, and Felix Albu</P></I><P>10. An Analysis of Derivative-Based Optimizers on Deep Neural Network Models</P><I><P>Aruna Pavate and Rajesh Bansode</P></I><B><P>Section III: Applications of Data Science and Data Analytics</P></B><P>11. Wheat Rust Disease Detection Using Deep Learning</P><I><P>Sudhir Kumar Mohapatra, Srinivas Prasad, and Sarat Chandra Nayak</P></I><P>12. A Novel Data Analytics and Machine Learning Model towards Prediction and Classification of Chronic Obstructive Pulmonary Disease</P><I><P>Sridevi U. K., Sophia S., Boselin Prabhu S.R., Zubair Baig, and P. Thamaraiselvi</P></I><P>13. A Novel Multimodal Risk Disease Prediction of Coronavirus by Using Hierarchical LSTM Methods</P><I><P>V. Kakulapati, BasavaRaju Kachapuram, Appiah Prince, and P. Shiva Kalyan</P></I><P>14. A Tier-based Educational Analytics Framework</P><I><P>Javed Nazura and Paul Anand</P></I><P>15. Breast Invasive Ductal Carcinoma Classification Based on Deep Transfer Learning Models with Histopathology Images</P><I><P>Saikat Islam Khan, Pulak Kanti Bhowmicka, Nazrul Islama, Mostofa Kamal Nasira, and Jia Uddin</P></I><P>16. Prediction of Acoustic Performance Using Machine Learning Techniques</P><I><P>Ratnavel Rajalakshmi, S. Jeyanthi, Yuvaraj L., Pradeep M., Jeyakrishna S., and Abhishek Krishnaswami</P></I><B><P>Section IV: Issue and Challenges in Data Science and Data Analytics</P></B><P>17. Feedforward Multi-Layer Perceptron Training by Hybridized Method between Genetic Algorithm and Artificial Bee Colony</P><I><P>Aleksa Cuk, Timea Bezdan, Nebojsa Bacanin, Miodrag Zivkovic, K. Venkatachalam, Tarik A. Rashid, and V. Kanchana Devi</P></I><P>18. Algorithmic Trading Using Trend Following Strategy: Evidence from Indian Information Technology Stocks</P><I><P>Molla Ramizur Rahman</P></I><P>19. A Novel Data Science Approach for Business and Decision Making for Prediction of Stock Market Movement Using Twitter Data and News Sentiments</P><I><P>S. Kumar Chandar, Hitesh Punjabi, Mahesh Kumar Sharda, and Jehan Murugadhas</P></I><P>20. Churn Prediction in Banking the Sector</P><I><P>Shreyas Hingmire, Jawwad Khan, Ashutosh Pandey, and Aruna Pavate</P></I><P>21. Machine and Deep Learning Techniques for Internet of Things Based Cloud Systems</P><I><P>Raswitha Bandi and K. Tejaswini</P></I><B><P>Section V: Future Research Opportunities towards Data Science and Data Analytics</P></B><P>22. Dialect Identification of the Bengali Language</P><I><P>Elizabeth Behrman, Arijit Santra, Siladitya Sarkar, Prantik Roy, Ritika Yadav, Soumi Dutta, and Arijit Ghosal</P></I><P>23. Real-Time Security Using Computer Vision</P><I><P>Bijoy Kumar Mandal and Niloy Sarkar</P></I><P>24. Data Analytics for Detecting DDoS Attacks in Network Traffic</P><I><P>Ciza Thomas and Rejimol Robinson R.R.</P></I><P>25. Detection of Patterns in Attributed Graph Using Graph Mining</P><I><P>Bapuji Rao</P></I><P>26. Analysis and Prediction of the Update of Mobile Android Version</P><I><P>Aparna Mohan and R. Maheswari</P></I>, Big data.
title Data science and data analytics: opportunities and challenges
title_auth Data science and data analytics opportunities and challenges
title_full Data science and data analytics opportunities and challenges edited by Amit Kumar Tyagi
title_fullStr Data science and data analytics opportunities and challenges edited by Amit Kumar Tyagi
title_full_unstemmed Data science and data analytics opportunities and challenges edited by Amit Kumar Tyagi
title_short Data science and data analytics
title_sort data science and data analytics opportunities and challenges
title_sub opportunities and challenges
topic Big data.
topic_facet Big data.