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Hardcover. Zustand: Very Good. No Jacket. Former library book; May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Paperback. Zustand: Very Good. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.

Zustand: New. pp. 384.

Zustand: New. Maximize profit and optimize decisions with advanced business analytics Profit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Series: Wiley and SAS Business Series. Num Pages: 304 pages. BIC Classification: KJ. Category: (P) Professional & Vocational. Weight in Grams: 666. . 2017. 1st Edition. Hardcover. . . . . Books ship from the US and Ireland.

Hardcover. Zustand: Brand New. 398 pages. 9.25x6.25x1.25 inches. In Stock.

Hardcover. Zustand: Brand New. 1st edition. 400 pages. 9.06x6.38x1.42 inches. In Stock.

Buch. Zustand: Neu. Neuware - Maximize profit and optimize decisions with advanced business analyticsProfit-Driven Business Analytics provides actionable guidance on optimizing the use of data to add value and drive better business. Combining theoretical and technical insights into daily operations and long-term strategy, this book acts as a development manual for practitioners seeking to conceive, develop, and manage advanced analytical models. Detailed discussion delves into the wide range of analytical approaches and modeling techniques that can help maximize business payoff, and the author team draws upon their recent research to share deep insight about optimal strategy. Real-life case studies and examples illustrate these techniques at work, and provide clear guidance for implementation in your own organization. From step-by-step instruction on data handling, to analytical fine-tuning, to evaluating results, this guide provides invaluable guidance for practitioners seeking to reap the advantages of true business analytics.Despite widespread discussion surrounding the value of data in decision making, few businesses have adopted advanced analytic techniques in any meaningful way. This book shows you how to delve deeper into the data and discover what it can do for your business.\* Reinforce basic analytics to maximize profits\* Adopt the tools and techniques of successful integration\* Implement more advanced analytics with a value-centric approach\* Fine-tune analytical information to optimize business decisionsBoth data stored and streamed has been increasing at an exponential rate, and failing to use it to the fullest advantage equates to leaving money on the table. From bolstering current efforts to implementing a full-scale analytics initiative, the vast majority of businesses will see greater profit by applying advanced methods. Profit-Driven Business Analytics provides a practical guidebook and reference for adopting real business analytics techniques.

Paperback. Zustand: Brand New. 506 pages. 9.25x6.10x1.02 inches. In Stock.

Paperback. Zustand: Brand New. 653 pages. 9.25x6.10x1.32 inches. In Stock.

Zustand: Hervorragend. Zustand: Hervorragend | Seiten: 656 | Sprache: Englisch | Produktart: Bücher | This volume constitutes the papers of several workshops which were held in conjunction with the International Workshops of ECML PKDD 2022 on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2022, held in Grenoble, France, during September 19¿23, 2022. The 73 revised full papers and 6 short papers presented in this book were carefully reviewed and selected from 143 submissions. ECML PKDD 2022 presents the following workshops:Workshop on Data Science for Social Good (SoGood 2022)Workshop on New Frontiers in Mining Complex Patterns (NFMCP 2022)Workshop on Explainable Knowledge Discovery in Data Mining (XKDD 2022)Workshop on Uplift Modeling (UMOD 2022)Workshop on IoT, Edge and Mobile for Embedded Machine Learning (ITEM 2022)Workshop on Mining Data for Financial Application (MIDAS 2022)Workshop on Machine Learning for Cybersecurity (MLCS 2022)Workshop on Machine Learning for Buildings Energy Management (MLBEM 2022) Workshop on Machine Learning for Pharma and Healthcare Applications (PharML 2022)Workshop on Data Analysis in Life Science (DALS 2022)Workshop on IoT Streams for Predictive Maintenance (IoT-PdM 2022).

Zustand: New.