Actionable intelligence -A Guide to Delivering Business Results with Big Data Fast / Carter ، Keith B. (1973-)، نویسنده
نوع مدرک: متون چاپی سرشناسه Carter ، Keith B. (1973-)، نویسنده شماره بازیابی : HD30.23 .C357 2014 عنوان : Actionable intelligence -A Guide to Delivering Business Results with Big Data Fast تکرار نام مولف : Keith B. Carter with contributions from Donald Farmer and Clifford Siegel. صفحه شمار: xviii, 205 pages ابعاد : 24 cm شابک/شاپا 978-1-11-891523-3 یادداشت Includes bibliographical references and index. موضوعها : اصفا
Decision making. ؛ Strategic planning. ؛ Big data.لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=5882 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7199 HD30.23 .C357 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود 7350 HD30.23 .C357 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Feinleib ، David.، نویسنده شماره بازیابی : QA76.9 .D32 F45 2014 عنوان : Big data bootcamp تکرار نام مولف : David Feinleib. صفحه شمار: xxvi, 216 pages ویژگی : illustrations ابعاد : 23 cm. شابک/شاپا 978-1-484-20041-4 یادداشت Includes bibliographical references and index. موضوعها : اصفا
Big data. ؛ Massendaten ؛ Informationssystem ؛ Unternehmenلینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6150 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7537 QA76.9 .D32 F45 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Dean ، Jared (1978-)، نویسنده شماره بازیابی : HD30.2 .D39 2014 عنوان : Big data, data mining and machine learning تکرار نام مولف : Jared Dean. صفحه شمار: xix, 265 pages ویژگی : illustrations ابعاد : 24 cm. شابک/شاپا 9781118618042 (hardback) یادداشت Includes bibliographical references (pages 247-251) and index. موضوعها : اصفا
ManagementData processing. ؛ Data mining. ؛ Big data. ؛ Database management. ؛ Information technologyManagement. ؛ COMPUTERS / Database Management / Data Mining.چکیده : "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"-- لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6152 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7539 HD30.2 .D39 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Stubbs ، Evan.، نویسنده شماره بازیابی : HD30.28 .S784 2014 عنوان : Big data, big innovation تکرار نام مولف : ؛Evan Stubbs. صفحه شمار: xvii, 232 pages ویژگی : illustrations ابعاد : 24 cm. شابک/شاپا 9781118724644 (hardback) موضوعها : اصفا
Business planning. ؛ Strategic planning. ؛ Big data. ؛ Decision makingStatistical methods. ؛ Industrial managementStatistical methods. ؛ BUSINESS & ECONOMICS / General.چکیده : "A practical guide to leveraging your data to spur innovation and growth. Your business generates reams of data, but what do you do with it? Reporting is only the beginning. Your data holds the key to innovation and growth - you just need the proper analytics. In Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics, author Evan Stubbs explores the potential gold hiding in your un-mined data. As Chief Analytics Officer for SAS Australia/New Zealand, Stubbs brings an industry insider's perspective to guide you through pattern recognition, analysis, and implementation.Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics details a groundbreaking approach to ensuring your company's upward trajectory. Use this guide to leverage your customer information, financial reports, performance metrics, and more to build a rock-solid foundation for future growth. Build an effective analytics team, and empower them with the right tools Learn how big data drives both evolutionary and revolutionary innovation, and who should be responsible Identify data collection and analysis opportunities and implement action plans Design the platform that suits your company's current and future needs Quantify performance with statistics, programming, and research for a more complete picture of operations Effective management means combining data, people, and analytics to create a synergistic force for innovation and growth. If you want your company to move forward with confidence, Big Data, Big Innovation: Enabling Competitive Differentiation Through Business Analytics can show you how to use what you already have and acquire what you need to succeed"-- لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6177 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7566 HD30.28 .S784 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود
نوع مدرک: متون چاپی سرشناسه Holdaway ، Keith R.، نویسنده شماره بازیابی : HD9560.4 .H65 2014 عنوان : Harness oil and gas big data with analytics تکرار نام مولف : ؛Keith R. Holdaway. صفحه شمار: xii, 364 pages ویژگی : illustrations ابعاد : 26 cm. شابک/شاپا 9781118779316 (hardback) یادداشت Includes index. موضوعها : اصفا
Petroleum industry and trade ؛ Gas industry ؛ Big data. ؛ BUSINESS & ECONOMICS / Industries / Energy Industries.چکیده : "Use big data analytics to efficiently drive oil and gas exploration and productionHarness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets.The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits"-- مندرجات Machine generated contents note: Preface Chapter 01: Fundamentals of Soft Computing Current Landscape in Upstream Data Analysis Evolution from Plato to Aristotle Descriptive and Predictive Models The SEMMA Process High Performance Analytics Three Tenets of Upstream Data Exploration and Production Value Propositions Oilfield Analytics I am a... Notes Chapter 02: Data Management Exploration and Production Value Proposition Data Management Platform Array of Data Repositories Structured Data and Unstructured Data Extraction, Transformation, and Loading Processes Big Data Big Analytics Standard Data Sources Case Study: Production Data Quality Control Framework Best Practices Notes Chapter 03: Seismic Attribute Analysis Exploration and Production Value Propositions Time-Lapse Seismic Exploration Seismic Attributes Reservoir Characterization Reservoir Management Seismic Trace Analysis Case Studies Reservoir Properties defined by Seismic Attributes Notes Chapter 04 Reservoir Characterization and Simulation Exploration and Production Value Propositions Exploratory Data Analysis Reservoir Characterization Cycle Traditional Data Analysis Reservoir Simulation Models Case Studies Notes Chapter 05: Drilling and Completion Optimization Exploration and Production Value Propositions Workflow One: Mitigation of Non-Productive Time Workflow Two: Drilling Parameter Optimization 5.5 Case Studies: Steam Assisted Gravity Drainage Completion Notes Chapter 06: Reservoir Management Exploration and Production Value Propositions Digital Oilfield of the Future Analytical Centers of Excellence Analytical Workflows: Best Practices Case Studies Notes Chapter 07: Production Forecasting Exploration and Production Value Propositions Web-Based Decline Curve Analysis Solution Unconventional Reserves Estimation Case Study: Oil Production Prediction for Infill Well Notes Chapter 08: Production Optimization Exploration and Production Value Propositions Case Studies Notes Chapter 09: Exploratory and Predictive Data Analysis Exploration and Production Value Propositions EDA Components EDA Statistical Graphs and Plots Ensemble Segmentations Data Visualization Case Studies Notes Chapter 10: Big Data: Structured and Unstructured Exploration and Production Value Propositions Hybrid Expert and Data Driven System Case Studies Multivariate Geostatistics Big Data Workflows Integration of Soft Computing Techniques Notes Glossary About the Author Index لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6091 زبان مدرک : English
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شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7447 HD9560.4 .H65 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود Information management strategies for gaining a competitive advantage with data / / McKnight ، William، نویسنده
نوع مدرک: متون چاپی سرشناسه McKnight ، William، نویسنده شماره بازیابی : HF54.54 .M34 2014 عنوان : Information management strategies for gaining a competitive advantage with data / تکرار نام مولف : ؛William Mcknight. صفحه شمار: xviii, 195 pages ابعاد : 23 cm شابک/شاپا 978-0-12-408056-0 یادداشت Includes bibliographical references and index. موضوعها : اصفا
Business information services. ؛ Business intelligence. ؛ Database management. ؛ Big data.لینک ثابت رکورد: ../opac/index.php?lvl=record_display&id=6154 زبان مدرک : English
درخواست رزرو
شماره ثبت شماره بازیابی نام عام مواد محل نگهداری بخش وضعیت ثبت وضعیت امانت 7541 HF54.54 .M34 2014 کتاب الکترونیکی لاتین موسسه آموزش عالی بینالود مدیریت صنعتی اسناد معمولی موجود