Big data, data mining and machine learning : value creation for business leaders and practitioners / Jared Dean.
Τύπος υλικού:
ΚείμενοΓλώσσα: Αγγλικά Σειρά: Wiley & SAS business seriesΛεπτομέρειες δημοσίευσης: Hoboken, New Jersey : Wiley, 2014.Περιγραφή: xix, 265 σ. : διαγρ. ; 23 εκISBN: - 9781118618042
- 23 658.056 31
| Τύπος τεκμηρίου | Τρέχουσα βιβλιοθήκη | Ταξιθετικός αριθμός | Αριθμός αντιτύπου | Κατάσταση | Ημερομηνία λήξης | Ραβδοκώδικας |
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![Book [21]](https://library.upatras.gr/nereus/nereus-book-yes.png "Book [21]")
Book [21]
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Φιλοσοφίας | 658.056 31 DEA (Περιήγηση στο ράφι(Άνοιγμα παρακάτω)) | 1 | Διαθέσιμο | 025000242276 |
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| 616.89 TEN Mental health : | 618.760 75 ΠΕΡ Περιγεννητικές ψυχικές διαταραχές: | 658 MIL Game theory at work : | 658.056 31 DEA Big data, data mining and machine learning : | 659.104 2 GOL Reading ads socially / | 686.209 2 FUS Gutenberg and the impact of printing / | 700.1 BOR Εισαγωγή στην τέχνη του κινηματογράφου |
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"An expert guide to high performance computing architectures and how they relate to analytics and data miningWith the exponential growth of data comes an ever-increasing need to process and analyze so-called Big Data. High Performance Data Mining and Big Data Analytics provides a comprehensive view of the recent trend toward high performance computing architectures and its natural connection to analytics and data mining. You'll find coverage of topics including: big data, high performance computing for analytics, massively parallel processing (MPP) databases, in-memory analytics, implementation of machine learning algorithms for big data platforms, text analytics, analytics environments, the analytics lifecycle, general applications, as well as a variety of cases. Offers coverage of business analytics, predictive modeling, and fact-based management Includes case studies featuring multinational companies Explores recent trends in high performance computing architectures relating to data mining Filled with case studies, High Performance Data Mining and Big Data Analytics provides a thorough grounding for optimally putting data mining and big data analytics to work for your organization"-- Provided by publisher.
