Lecture Notes in Computer Science 2011

Data Analytics (Lecture Notes in Computer Science)  eBooks & eLearning

Posted by hill0 at July 2, 2017
Data Analytics  (Lecture Notes in Computer Science)

Data Analytics: 31st British International Conference on Databases, BICOD 2017, London, UK, July 10-12, 2017, Proceedings (Lecture Notes in Computer Science) by Andrea Calì
English | 14 Jun. 2017 | ISBN: 3319607944 | 188 Pages | PDF | 9.82 MB

This book constitutes the refereed conference proceedings of the 31st British International Conference on Databases, BICOD 2017 - formerly known as BNCOD (British National Conference on Databases) - held in London, UK, in July 2017.

Image Analysis: Part II (Lecture Notes in Computer Science)  eBooks & eLearning

Posted by hill0 at May 25, 2017
Image Analysis: Part II (Lecture Notes in Computer Science)

Image Analysis: 20th Scandinavian Conference, SCIA 2017, Tromsø, Norway, June 12-14, 2017, Proceedings, Part II (Lecture Notes in Computer Science) by Puneet Sharma
English | 19 May 2017 | ISBN: 3319591282 | 504 Pages | PDF | 118.69 MB

The two-volume set LNCS 10269 and 10270 constitutes the refereed proceedings of the 20th Scandinavian Conference on Image Analysis, SCIA 2017, held in Tromsø, Norway, in June 2017.
Primality Testing in Polynomial Time: From Randomized Algorithms to "PRIMES Is in P" (Lecture Notes in Computer Science)

Primality Testing in Polynomial Time: From Randomized Algorithms to "PRIMES Is in P" (Lecture Notes in Computer Science) by Martin Dietzfelbinger
English | 2008 | ISBN: 3540403442, 9783540403449 | 150 Pages | PDF | 984.62 KB
Design of Hashing Algorithms (Lecture Notes in Computer Science) by Babak Sadeghiyan [Repost]

Design of Hashing Algorithms (Lecture Notes in Computer Science) by Babak Sadeghiyan
English | Nov 23, 1993 | ISBN: 3540575006 | 208 Pages | PDF | 7 MB
Business Process Management: Models, Techniques, and Empirical Studies (Lecture Notes in Computer Science) [repost]

Business Process Management: Models, Techniques, and Empirical Studies (Lecture Notes in Computer Science) by Wil van der Aalst
English | May 25, 2000 | ISBN: 3540674543 | 398 Pages | PDF | 2 MB
Transactions on Computational Science XIX: Special Issue on Computer Graphics (Lecture Notes in Computer Science)

Transactions on Computational Science XIX: Special Issue on Computer Graphics (Lecture Notes in Computer Science) by Marina L Gavrilova
English | 14 July 2013 | ISBN: 3642397581 | 184 Pages | PDF (True) | 18.86 MB

The 19th issue of the Transactions on Computational Science journal, edited by Anton Konushin, is devoted to the topic of computer graphics.
Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIX: 29 (Lecture Notes in Computer Science)

Transactions on Large-Scale Data- and Knowledge-Centered Systems XXIX: 29 (Lecture Notes in Computer Science) by Abdelkader Hameurlain
English | 23 Dec. 2016 | ISBN: 3662540363 | 144 Pages | PDF | 7.88 MB

The LNCS journal Transactions on Large-Scale Data- and Knowledge-Centered Systems focuses on data management, knowledge discovery, and knowledge processing, which are core and hot topics in computer science. Since the 1990s, the Internet has become the main driving force behind application development in all domains.
From Object-Orientation to Formal Methods: Essays in Memory of Ole-Johan Dahl (Lecture Notes in Computer Science)(Repost)

From Object-Orientation to Formal Methods: Essays in Memory of Ole-Johan Dahl (Lecture Notes in Computer Science) by Olaf Owe
English | 2004 | ISBN: 354021366X | 394 Pages | PDF | 4.29 MB
Algorithm Engineering: Selected Results and Surveys (Lecture Notes in Computer Science)

Algorithm Engineering: Selected Results and Surveys (Lecture Notes in Computer Science) by Lasse Kliemann
English | 11 Nov. 2016 | ISBN: 3319494864 | 432 Pages | EPUB | 4.46 MB

Algorithm Engineering is a methodology for algorithmic research that combines theory with implementation and experimentation in order to obtain better algorithms with high practical impact.
Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science)

Machine Learning for Health Informatics: State-of-the-Art and Future Challenges (Lecture Notes in Computer Science) by Andreas Holzinger
English | 10 Dec. 2016 | ISBN: 3319504770 | 504 Pages | PDF | 27 MB

Machine learning (ML) is the fastest growing field in computer science, and Health Informatics (HI) is amongst the greatest application challenges, providing future benefits in improved medical diagnoses, disease analyses, and pharmaceutical development. However, successful ML for HI needs a concerted effort, fostering integrative research between experts ranging from diverse disciplines from data science to visualization.