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11-20 of 48 results in All results

Social Data Analytics

  • 1st Edition
  • November 10, 2014
  • Krish Krishnan + 1 more
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 3 9 7 1 8 6 - 9
  • eBook
    9 7 8 - 0 - 1 2 - 3 9 7 7 8 0 - 9
Social Data Analytics is the first practical guide for professionals who want to employ social data for analytics and business intelligence (BI). This book provides a comprehensive overview of the technologies and platforms and shows you how to access and analyze the data. You'll explore the five major types of social data and learn from cases and platform examples to help you make the most of sentiment, behavioral, social graph, location, and rich media data. A four-step approach to the social BI process will help you access, evaluate, collaborate, and share social data with ease. You'll learn everything you need to know to monitor social media and get an overview of the leading vendors in a crowded space of BI applications. By the end of this book, you will be well prepared for your organization’s next social data analytics project.

Business Intelligence Guidebook

  • 1st Edition
  • November 4, 2014
  • Rick Sherman
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 1 4 6 1 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 1 5 2 8 - 6
Between the high-level concepts of business intelligence and the nitty-gritty instructions for using vendors’ tools lies the essential, yet poorly-understood layer of architecture, design and process. Without this knowledge, Big Data is belittled – projects flounder, are late and go over budget. Business Intelligence Guidebook: From Data Integration to Analytics shines a bright light on an often neglected topic, arming you with the knowledge you need to design rock-solid business intelligence and data integration processes. Practicing consultant and adjunct BI professor Rick Sherman takes the guesswork out of creating systems that are cost-effective, reusable and essential for transforming raw data into valuable information for business decision-makers. After reading this book, you will be able to design the overall architecture for functioning business intelligence systems with the supporting data warehousing and data-integration applications. You will have the information you need to get a project launched, developed, managed and delivered on time and on budget – turning the deluge of data into actionable information that fuels business knowledge. Finally, you’ll give your career a boost by demonstrating an essential knowledge that puts corporate BI projects on a fast-track to success.

Guerrilla Analytics

  • 1st Edition
  • September 23, 2014
  • Enda Ridge
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 8 0 0 2 1 8 - 6
  • eBook
    9 7 8 - 0 - 1 2 - 8 0 0 5 0 3 - 3
Doing data science is difficult. Projects are typically very dynamic with requirements that change as data understanding grows. The data itself arrives piecemeal, is added to, replaced, contains undiscovered flaws and comes from a variety of sources. Teams also have mixed skill sets and tooling is often limited. Despite these disruptions, a data science team must get off the ground fast and begin demonstrating value with traceable, tested work products. This is when you need Guerrilla Analytics. In this book, you will learn about: The Guerrilla Analytics Principles: simple rules of thumb for maintaining data provenance across the entire analytics life cycle from data extraction, through analysis to reporting. Reproducible, traceable analytics: how to design and implement work products that are reproducible, testable and stand up to external scrutiny. Practice tips and war stories: 90 practice tips and 16 war stories based on real-world project challenges encountered in consulting, pre-sales and research. Preparing for battle: how to set up your team's analytics environment in terms of tooling, skill sets, workflows and conventions. Data gymnastics: over a dozen analytics patterns that your team will encounter again and again in projects

Computer Programming and Architecture

  • 2nd Edition
  • June 28, 2014
  • Henry Levy + 1 more
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 9 3 7 - 2
Takes a unique systems approach to programming and architecture of the VAXUsing the VAX as a detailed example, the first half of this book offers a complete course in assembly language programming. The second describes higher-level systems issues in computer architecture. Highlights include the VAX assembler and debugger, other modern architectures such as RISCs, multiprocessing and parallel computing, microprogramming, caches and translation buffers, and an appendix on the Berkeley UNIX assembler.

Commercial Data Mining

  • 1st Edition
  • January 29, 2014
  • David Nettleton
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 6 6 0 2 - 8
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 6 6 5 8 - 5
Whether you are brand new to data mining or working on your tenth predictive analytics project, Commercial Data Mining will be there for you as an accessible reference outlining the entire process and related themes. In this book, you'll learn that your organization does not need a huge volume of data or a Fortune 500 budget to generate business using existing information assets. Expert author David Nettleton guides you through the process from beginning to end and covers everything from business objectives to data sources, and selection to analysis and predictive modeling. Commercial Data Mining includes case studies and practical examples from Nettleton's more than 20 years of commercial experience. Real-world cases covering customer loyalty, cross-selling, and audience prediction in industries including insurance, banking, and media illustrate the concepts and techniques explained throughout the book.

Human Aspects in Computer Integrated Manufacturing

  • 1st Edition
  • October 22, 2013
  • G.J. Olling
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 3 3 5 - 6
The papers in this volume reflect the current research and development of advanced manufacturing software. They may be categorized as follows: New Concepts towards CIM, Product Realization through Product/Process Modelling, Intelligent Management and Control of Manufacturing Activities, and Development of CIM Systems.

Newnes Electronics Engineers Pocket Book

  • 1st Edition
  • October 22, 2013
  • Keith Brindley
  • English
  • eBook
    9 7 8 - 1 - 4 8 3 2 - 9 1 9 9 - 4
This book is packed with information and material which everyone involved in electronics will find indispensable. Now when you need to know a transistor's characteristics, or an integrated circuit's pinout details, simply look it up! The book is full of tables, symbols, formulae, conversions and illustrations.

Big Data Analytics

  • 1st Edition
  • August 23, 2013
  • David Loshin
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 1 7 3 1 9 - 4
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 8 6 6 4 - 4
Big Data Analytics will assist managers in providing an overview of the drivers for introducing big data technology into the organization and for understanding the types of business problems best suited to big data analytics solutions, understanding the value drivers and benefits, strategic planning, developing a pilot, and eventually planning to integrate back into production within the enterprise.

Machine Learning: Theory and Applications

  • 1st Edition
  • Volume 31
  • May 16, 2013
  • C.R. Rao + 1 more
  • English
  • Hardback
    9 7 8 - 0 - 4 4 4 - 5 3 8 5 9 - 8
  • eBook
    9 7 8 - 0 - 4 4 4 - 5 3 8 6 6 - 6
Statistical learning and analysis techniques have become extremely important today, given the tremendous growth in the size of heterogeneous data collections and the ability to process it even from physically distant locations. Recent advances made in the field of machine learning provide a strong framework for robust learning from the diverse corpora and continue to impact a variety of research problems across multiple scientific disciplines. The aim of this handbook is to familiarize beginners as well as experts with some of the recent techniques in this field.The Handbook is divided in two sections: Theory and Applications, covering machine learning, data analytics, biometrics, document recognition and security.

Assessing Vendors

  • 1st Edition
  • April 10, 2013
  • Josh More
  • English
  • Paperback
    9 7 8 - 0 - 1 2 - 4 0 9 6 0 7 - 3
  • eBook
    9 7 8 - 0 - 1 2 - 4 1 0 4 4 6 - 4
Assessing vendors is a tricky process. Large and regulated organizations are forced to demonstrate due diligence in vendor assessment, but often do not know how to do this. This results in a great deal of busywork being required by both the vendors and the organizations. Smaller organizations don't know what to look for and, as a result, often wind up selecting based on price instead of value. This results in service failures and vendors that just milk their customers for as long as they can. Assessing Vendors shows you how to walk the line between under- and over-assessing, so decisions can be made on sufficient data without wasting time, digging too deeply, or making decisions too quickly. This hands-on guide will show you how to use an iterative approach to vendor analysis, so you can rapidly filter out the vendors that are clear failures and then select likely winners. It will then show you how to do progressively deeper dives into the likely winners so you can select a preferred vendor. Finally, you will learn how to negotiate with your preferred vendor to get reasonable prices and services. Provides an iterative approach to vendor assessment, showing you how to make decisions on sufficient data without wasting time Includes checklists to help you navigate the decision-making process, while considering all the important factors needed to make a sound decision Helps you understand and evaluate vendors based on key concepts such as performance criteria, functional testing, production, and price