Data, Engineering and Applications Volume 1 /

This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Shukla, Rajesh Kumar (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Agrawal, Jitendra (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sharma, Sanjeev (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Singh Tomer, Geetam (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Singapore : Springer Singapore : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
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245 1 0 |a Data, Engineering and Applications  |h [electronic resource] :  |b Volume 1 /  |c edited by Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer. 
250 |a 1st ed. 2019. 
264 1 |a Singapore :  |b Springer Singapore :  |b Imprint: Springer,  |c 2019. 
300 |a VIII, 191 p. 89 illus., 60 illus. in color.  |b online resource. 
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505 0 |a A review of Recommender System and related Dimensions -- Collaborative Filtering Techniques in Recommendation Systems -- Predicting Users' Interest through ELM basedCollaborative Filtering -- Application of Community Detection Technique in Text Mining -- Sentiment Analysis on WhatsApp Group Chat using R -- A Recent Survey on Information Hiding Techniques -- Investigation of Feature Selection Techniques on Performance of Automatic Text Categorization -- Identification and Analysis of Future User Interactions Using Some Link Prediction Methods in Social Networks -- Sentiment Prediction of Facebook Status updates of youngsters -- Logistic Regression for the Diagnosis of Cervical Cancer -- Automatic Examination Timetable Scheduling Using Particle Swarm Optimization and Local Search Algorithm -- Personality Trait Identification for Written Texts Using MLNB -- Deep neural network compression via knowledge distillation for embedded vision applications. 
520 |a This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications. . 
650 0 |a Big data. 
650 0 |a Data mining. 
650 0 |a Artificial intelligence. 
650 1 4 |a Big Data.  |0 http://scigraph.springernature.com/things/product-market-codes/I29120 
650 2 4 |a Data Mining and Knowledge Discovery.  |0 http://scigraph.springernature.com/things/product-market-codes/I18030 
650 2 4 |a Artificial Intelligence.  |0 http://scigraph.springernature.com/things/product-market-codes/I21000 
700 1 |a Shukla, Rajesh Kumar.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Agrawal, Jitendra.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Sharma, Sanjeev.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Singh Tomer, Geetam.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
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776 0 8 |i Printed edition:  |z 9789811363467 
776 0 8 |i Printed edition:  |z 9789811363481 
776 0 8 |i Printed edition:  |z 9789811363498 
856 4 0 |u https://doi.org/10.1007/978-981-13-6347-4  |z Full Text via HEAL-Link 
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