Электронный каталог

DDC 621.36/7028557
B 57

    Big data analytics for satellite image processing and remote sensing / / P. Swarnalatha and Prabu Sevugan, editors. - Hershey, PA : : Engineering Science Reference,, [2018]. - 1 online resource. - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/27BCF3B2-59AB-4000-9D1E-E5D1120E15F9. - ISBN 9781522536444 (electronic bk.). - ISBN 1522536442 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Big data analytics for satellite image processing and remote sensing. - Hershey, PA : Engineering Science Reference, [2018]. - ISBN 9781522536437

Big data analytics for satellite image processing and remote sensing / [Электронный ресурс] / P. Swarnalatha and Prabu Sevugan, editors., [2018]. - 1 online resource. с.

DDC 610.72/4
S 88
Strasser, Bruno J. ,
    Collecting experiments : : making big data biology / / Bruno J. Strasser. - Chicago : : The University of Chicago Press,, 2019. - 1 online resource (pages). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DAB14D2F-4760-4FBB-B301-F258F0000031. - ISBN 9780226635187 (electronic bk.). - ISBN 022663518X (electronic bk.)
Print version record.
Параллельные издания: Print version: : Strasser, Bruno J. Collecting experiments. - Chicago : The University of Chicago Press, 2019. - ISBN 9780226634999
    Содержание:
Introduction -- Biology, computers, data -- Biology transformed -- Naturalists vs. experimentalists? -- The laboratory and experimentalism -- The museum and natural history -- Live museums -- Blood banks -- Data atlases -- Virtual collections -- Public databases -- Open science -- Conclusion. The end of model organisms? ; The new politics of knowledge.

Strasser, Bruno J., Collecting experiments : [Электронный ресурс] : making big data biology / / Bruno J. Strasser., 2019. - 1 online resource (pages) с. (Введено оглавление)

DDC 363.12/5
M 84
Moridpour, Sara, (1980-).
    Big data analytics in traffic and transportation engineering : : emerging research and opportunities / / by Sara Moridpour. - Hershey, PA : : Engineering Science Reference,, ©2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/572FAF6F-1498-4FC2-915F-995E7ABFA664. - ISBN 9781522579441 (electronic bk.). - ISBN 1522579443 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Moridpour, Sara, 1980- Big data analytics in traffic and transportation engineering. - Hershey, PA : Engineering Science Reference, [2019]. - ISBN 9781522579434
    Содержание:
Access to public transport in metropolitan areas -- Bikeability in metropolitan areas -- Walkability in metropolitan areas -- Applying decision tree approaches on vehicle-pedestrian crashes -- Neighbourhood influences on vehicle-pedestrian crash severity -- Spatial and temporal distribution of pedestrian crashes -- Contributing factors on vehicle-pedestrian crash severity of school-aged pedestrians.

Moridpour, Sara,. Big data analytics in traffic and transportation engineering : [Электронный ресурс] : emerging research and opportunities / / by Sara Moridpour., ©2019. - 1 online resource. с. (Введено оглавление)

DDC 307.1/2160285
S 78

    Spatial planning in the big data revolution / / Angioletta Voghera and Luigi La Riccia, editors. - 4018/978-1-5225-7927-4. - Hershey, Pennsylvania (701 E. Chocolate Avenue, Hershey, Pennsylvania, 17033, USA) : : IGI Global,, [2019]. - 1 online resource (27 PDFs (359 pages)) ( час. мин.), 4018/978-1-5225-7927-4. - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/7055E4B8-9481-413F-8D03-26D1AFD28A88. - ISBN 1522579281. - ISBN 9781522579281 (electronic bk.)
Description based on title screen (IGI Global, viewed 02/23/2019).
Параллельные издания: Print version: :
    Содержание:
Chapter 1. Section placeholder ; Chapter 2. Towards knowledge-based spatial planning ; Chapter 3. Modelling and assessing spatial big data: use cases of the openstreetmap full-history dump ; Chapter 4. Big data and high-performance analyses and processes ; Chapter 5. IoT platforms and technologies driving spatial planning and analytics ; Chapter 6. The walkability of the cities: improving it through the reuse of available data and raster analyses ; Chapter 7. Section placeholder ; Chapter 8. Defining energy criteria in the absence of open data: a stakeholder-oriented approach based on multi-criteria analysis (MCA) ; Chapter 9. Can big data support smart(er) evaluation?: theoretical consideration starting from the territorial integrated evaluation approach ; Chapter 10. Ecosystem service evaluation for landscape planning policies: addressing data availability issues ; Chapter 11. Section placeholder ; Chapter 12. Semantic spatial representation and collaborative mapping in urban and regional planning: the ontomap community project ; Chapter 13. Researching and enabling youth geographies in the digital and material city: the Teencarto project ; Chapter 14. A territorial dimension can be useful for managing long-term regional road safety ; Chapter 15. Defining urban planning strategy through social media application ; Chapter 16. A planning model for cognitive cities: spatial cognition through a participatory approach.

Spatial planning in the big data revolution / [Электронный ресурс] / Angioletta Voghera and Luigi La Riccia, editors., [2019]. - 1 online resource (27 PDFs (359 pages)) с. (Введено оглавление)

DDC 616.8/0475
E 11

    Early detection of neurological disorders using machine learning systems / / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors. - Hershey, PA : : Medical Information Science Reference,, ©2019. - 1 online resource : : il. - (Advances in medical technologies and clinical practice book series). - Includes bibliographical references. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/4FBD56BA-9995-46DF-B872-B20D6B52B82F. - ISBN 9781522585688 (electronic bk.). - ISBN 1522585680 (electronic bk.)
Print version record.
Параллельные издания: Print version: : Early detection of neurological disorders using machine learning systems. - Hershey, PA : Medical Information Science Reference, [2020]. - ISBN 9781522585671
    Содержание:
Epileptic seizure detection and classification using machine learning -- Rekh Janghel, Yogesh Rathore, Gautam Tiparti -- A study on basal ganglia circuit and its relation with movement disorders / Ankita Tiwari, Raghuvendra Tripathi, Dinesh Bhatia -- Social media analytics to predict depression level in the users / Mohammad Shahid Husain -- Tremor identification using machine learning in Parkinson's disease -- Angana Saikia, Vinayak Majhi, Masaraf Hussain, Sudip Paul, Amitava Datta -- Soft computing based early detection of Parkinson's disease using non-invasive method based on speech analysis / Chandrasekar Ravi -- Neurofeedback -retrain the brain / Meena Gupta, Dinesh Bhatia -- Neurocognitive mechanisms for detecting early phase of depressive disorder analysis of event related potentials in human brain / Shashikanta Tarai -- Intelligent big data analytics in health : big data analytics in health / Ebru Bayrak, Pinar Kirci -- Motor imagery classification using EEG signals for brain computer interface applications / Subrota Mazumdar, Rohit Chaudharya, Suruchi Suruchi, Suman Mohanty, Divya Kumari, Aleena Swetapadma -- Mapping the intellectual structure of the field neurological disorders : a bibliometric analysis / S. Ravikmar -- Medical image segmentation an advanced approach / Ramgopal Kashyapdia.

Early detection of neurological disorders using machine learning systems / [Электронный ресурс] / Sudip Paul, Pallab Bhattacharya, and Arindam Bit, editors., ©2019. - 1 online resource : с. (Введено оглавление)

DDC 610.285
D 24

    Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications [[electronic resource].]. - [Б. м.] : Medical Information Science Reference, 2019. - 1 online resource. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/DE5D1726-6AD3-4856-8A70-5A80686B4AF2. - ISBN 1799812065. - ISBN 9781799812067 (electronic bk.)

Data Analytics in Medicine: Concepts, Methodologies, Tools, and Applications [[electronic resource].], 2019. - 1 online resource с.

DDC 005.7
M 30
Marin, Ivan.
    Big data analysis with Python : : combine Spark and Python to unlock the powers of parallel computing and machine learning / / Ivan Marin, Ankit Shukla and Sarang VK. - Birmingham, UK : : Packt Publishing,, ©2019. - 1 online resource (276 pages). - URL: https://library.dvfu.ru/lib/document/SK_ELIB/C3233AC3-74EA-4C2D-A64D-76AE7AE62C11. - ISBN 1789950732 (electronic book). - ISBN 9781789950731 (electronic book)
Description based on online resource; title from digital title page (viewed on January 06, 2020).
Параллельные издания: Print version: : Marin, Ivan. Big Data Analysis with Python : Combine Spark and Python to Unlock the Powers of Parallel Computing and Machine Learning. - Birmingham : Packt Publishing Ltd, ©2019. - ISBN 9781789955286
    Содержание:
Chapter 1: The Python Data Science Stack -- Chapter 2: Statistical Visualizations -- Chapter 3: Working with Big Data Frameworks -- Chapter 4: Diving Deeper with Spark -- Chapter 5: Handling Missing Values and Correlation Analysis -- Chapter 6: Exploratory Data Analysis -- Chapter 7: Reproducibility in Big Data Analysis -- Chapter 8: Creating a Full Analysis Report

Marin, Ivan. Big data analysis with Python : [Электронный ресурс] : combine Spark and Python to unlock the powers of parallel computing and machine learning / / Ivan Marin, Ankit Shukla and Sarang VK., ©2019. - 1 online resource (276 pages) с. (Введено оглавление)

DDC 005.8
S 43

    Security, privacy, and forensics issues in big data / / [edited by] Ramesh C. Joshi, Brij B. Gupta. - 4018/978-1-5225-9742-1. - Hershey, Pennsylvania : : IGI Global,, [2020]. - 1 online resource. ( час. мин.), 4018/978-1-5225-9742-1. - (Advances in Information Security, Privacy, and Ethics (AISPE) Book Series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/A950C774-1418-44B4-A065-AC99B7006896. - ISBN 1522597441 (electronic book). - ISBN 9781522597445 (electronic bk.)
Description based on online resource; title from digital title page (viewed on December 02, 2019).
Параллельные издания: Print version: :
    Содержание:
Chapter 1. Securing the cloud for big data -- Chapter 2. Big data: challenges and solutions -- Chapter 3. Human factors in cybersecurity: issues and challenges in big data -- Chapter 4. Security and privacy challenges in big data -- Chapter 5. Cloud-centric blockchain public key infrastructure for big data applications -- Chapter 6. Security vulnerabilities, threats, and attacks in IoT and big data: challenges and solutions -- Chapter 7. Threat hunting in windows using big security log data -- Chapter 8. Nature-inspired techniques for data security in big data -- Chapter 9. Bootstrapping urban planning: addressing big data issues in smart cities -- Chapter 10. Securing online bank's big data through block chain technology: cross-border transactions security and tracking -- Chapter 11. Enhance data security and privacy in cloud -- Chapter 12. The unheard story of organizational motivations towards user privacy -- Chapter 13. Botnet and Internet of things (IoTs): a definition, taxonomy, challenges, and future directions -- Chapter 14. A conceptual model for the organizational adoption of information system security innovations -- Chapter 15. Theoretical foundations of deep resonance interference network: towards intuitive learning as a wave field phenomenon -- Chapter 16. Malware threat in internet of things and its mitigation analysis -- Chapter 17. Leveraging fog computing and deep learning for building a secure individual health-based decision support system to evade air pollution.

Security, privacy, and forensics issues in big data / [Электронный ресурс] / [edited by] Ramesh C. Joshi, Brij B. Gupta., [2020]. - 1 online resource. с. (Введено оглавление)

DDC 006.3/1
D 30

    Deep learning innovations and their convergence with big data / / S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia. - Hershey, PA : : IGI Global,, ©2018. - 1 online resource (xxii, 265 pages) : : il. - (Advances in data mining and database management (ADMDM) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/CD458B4B-C6A8-43E8-82DB-9736615F5807. - ISBN 9781522530169 (electronic bk.). - ISBN 1522530169 (electronic bk.)
"Premier reference source"--Cover. Description based on print version record.
Параллельные издания: Print version: : Deep learning innovations and their convergence with big data. - Hershey, PA : Information Science Reference, [2018]. - ISBN 9781522530152
    Содержание:
Advanced threat detection based on big data technologies / Madhvaraj M. Shetty, Manjaiah D.H. -- A brief review on deep learning and types of implementation for deep learning / Uthra Kunathur Thikshaja, Anand Paul -- Big spectrum data and deep learning techniques for cognitive wireless networks / Punam Dutta Choudhury, Ankumoni Bora, Kandarpa Kumar Sarma -- Efficiently processing big data in real-time employing deep learning algorithm / Murad Khan, Bhagya Nathali Silva, Kijun Han -- Digital investigation of cybercrimes based on big data analytics using deep learning / Ezz El-Din Hemdan, Manjaiah D. H. -- Classifying images of drought-affected area using deep belief network, kNN, and random forest learning techniques / Sanjiban Sekhar Roy, Pulkit Kulshrestha, Pijush Samui -- Big data deep analytics for geosocial networks / Muhammad Mazhar Ullah Rathore, Awais Ahmad, Anand Paul -- Data science: recent developments and future insights / Sabitha Rajagopal -- Data science and computational biology / Singaraju Jyothi, Bhargavi P-- After cloud: in hypothetical world / Shigeki Sugiyama -- Cloud-based big data analytics in smart educational system / Newlin Rajkumar Manokaran, Venkatesa Kumar Varathan, Shalinie Deepak.

Deep learning innovations and their convergence with big data / [Электронный ресурс] / S. Karthik, SNS College of Technology, Anna University, India ; Anand Paul, Kyungpook National University, South Korea ; N. Karthikeyan, Mizan-Tepi University, Ethiopia., ©2018. - 1 online resource (xxii, 265 pages) : с. (Введено оглавление)

DDC 005.7
M 78

    Modern technologies for big data classification and clustering / / Hari Seetha, Vellore Institute of Technology-Andhra Pradesh, India ; M. Narasimha Murty, Indian Institute of Science, India ; B. K. Tripathy, VIT University, India. - Hershey, PA : : IGI Global,, ©2018. - 1 online resource (xxi, 360 pages) : : il. - (Advances in data mining and database management (ADMDM) book series). - Includes bibliographical references and index. - URL: https://library.dvfu.ru/lib/document/SK_ELIB/383A8125-3F23-41B5-9C60-C61262DE4593. - ISBN 9781522528067 (electronic bk.). - ISBN 1522528067 (electronic bk.)
Description based on print version record
Параллельные издания: Print version: : Modern technologies for big data classification and clustering. - Hershey, PA : Information Science Reference, [2018]. - ISBN 9781522528050
    Содержание:
Uncertainty-based clustering algorithms for large data sets / B. K. Tripathy, Hari Seetha, M. N. Murty -- Sentiment mining approaches for big data classification and clustering / Ashok Kumar J, Abirami S, Tina Esther Trueman -- Data compaction techniques / R. Raj Kumar, P. Viswanath, C. Shoba Bindu -- Methodologies and technologies to retrieve information from text sources / Anu Singha, Phub Namgay -- Twitter data analysis / Chitrakala S -- Use of social network analysis in telecommunication domain / Sushruta Mishra, Hrudaya Kumar Tripathy, Monalisa Mishra, Bijayalaxmi Panda -- A review on spatial big data analytics and visualization / Bangaru Kamatchi Seethapathy, Parvathi R -- A survey on overlapping communities in large-scale social networks / S Rao Chintalapudi, H. M. Krishna Prasad -- A brief study of approaches to text feature selection / Ravindra Babu Tallamaraju, Manas Kirti -- Biological big data analysis and visualization: a survey / Vignesh U, Parvathi R

Modern technologies for big data classification and clustering / [Электронный ресурс] / Hari Seetha, Vellore Institute of Technology-Andhra Pradesh, India ; M. Narasimha Murty, Indian Institute of Science, India ; B. K. Tripathy, VIT University, India, ©2018. - 1 online resource (xxi, 360 pages) : с. (Введено оглавление)