Case Studies Of Applied Advanced Data Collection And Management


Case Studies Of Applied Advanced Data Collection And Management
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Case Studies Of Applied Advanced Data Collection And Management


Case Studies Of Applied Advanced Data Collection And Management
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Author : Bob O. Benn
language : en
Publisher: ASCE Publications
Release Date : 1980-01-01

Case Studies Of Applied Advanced Data Collection And Management written by Bob O. Benn and has been published by ASCE Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980-01-01 with Technology & Engineering categories.


Sponsored by the Committee on Advanced Data Collection and Management Systems of ASCE. This casebook offers examples of civil engineering practices in the acquisition and use of data obtained with advanced aerial and ground-based remote collection systems. The first section deals with remote sensing imagery and data utilization and applications to water resources site and route selection, environmental inventory, land use, and facilities. Specific applications include photobathymetry, landsat imagery, and energy-loss surveys using thermalØinfrared technology. Noncontact and contact data collection and data relay systems are reviewed, along with surface temperature mapping, photogeodesy and hydrologic telemetry from remote areas. The final section presents discussions on data processing and its applications to both data organization and information extension.



Applied Advanced Analytics


Applied Advanced Analytics
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Author : Arnab Kumar Laha
language : en
Publisher: Springer Nature
Release Date : 2021-06-08

Applied Advanced Analytics written by Arnab Kumar Laha and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-06-08 with Business & Economics categories.


This book covers several new areas in the growing field of analytics with some innovative applications in different business contexts, and consists of selected presentations at the 6th IIMA International Conference on Advanced Data Analysis, Business Analytics and Intelligence. The book is conceptually divided in seven parts. The first part gives expository briefs on some topics of current academic and practitioner interests, such as data streams, binary prediction and reliability shock models. In the second part, the contributions look at artificial intelligence applications with chapters related to explainable AI, personalized search and recommendation, and customer retention management. The third part deals with credit risk analytics, with chapters on optimization of credit limits and mitigation of agricultural lending risks. In its fourth part, the book explores analytics and data mining in the retail context. In the fifth part, the book presents some applications of analytics to operations management. This part has chapters related to improvement of furnace operations, forecasting food indices and analytics for improving student learning outcomes. The sixth part has contributions related to adaptive designs in clinical trials, stochastic comparisons of systems with heterogeneous components and stacking of models. The seventh and final part contains chapters related to finance and economics topics, such as role of infrastructure and taxation on economic growth of countries and connectedness of markets with heterogenous agents, The different themes ensure that the book would be of great value to practitioners, post-graduate students, research scholars and faculty teaching advanced business analytics courses.



Real World Data Mining


Real World Data Mining
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Author : Dursun Delen
language : en
Publisher: FT Press
Release Date : 2014-12-16

Real World Data Mining written by Dursun Delen and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-16 with Business & Economics categories.


Use the latest data mining best practices to enable timely, actionable, evidence-based decision making throughout your organization! Real-World Data Mining demystifies current best practices, showing how to use data mining to uncover hidden patterns and correlations, and leverage these to improve all aspects of business performance. Drawing on extensive experience as a researcher, practitioner, and instructor, Dr. Dursun Delen delivers an optimal balance of concepts, techniques and applications. Without compromising either simplicity or clarity, he provides enough technical depth to help readers truly understand how data mining technologies work. Coverage includes: processes, methods, techniques, tools, and metrics; the role and management of data; text and web mining; sentiment analysis; and Big Data integration. Throughout, Delen's conceptual coverage is complemented with application case studies (examples of both successes and failures), as well as simple, hands-on tutorials. Real-World Data Mining will be valuable to professionals on analytics teams; professionals seeking certification in the field; and undergraduate or graduate students in any analytics program: concentrations, certificate-based, or degree-based.



Applied Data Mining For Business And Industry


Applied Data Mining For Business And Industry
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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2009-04-15

Applied Data Mining For Business And Industry written by Paolo Giudici and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-04-15 with Mathematics categories.


The increasing availability of data in our current, information overloaded society has led to the need for valid tools for its modelling and analysis. Data mining and applied statistical methods are the appropriate tools to extract knowledge from such data. This book provides an accessible introduction to data mining methods in a consistent and application oriented statistical framework, using case studies drawn from real industry projects and highlighting the use of data mining methods in a variety of business applications. Introduces data mining methods and applications. Covers classical and Bayesian multivariate statistical methodology as well as machine learning and computational data mining methods. Includes many recent developments such as association and sequence rules, graphical Markov models, lifetime value modelling, credit risk, operational risk and web mining. Features detailed case studies based on applied projects within industry. Incorporates discussion of data mining software, with case studies analysed using R. Is accessible to anyone with a basic knowledge of statistics or data analysis. Includes an extensive bibliography and pointers to further reading within the text. Applied Data Mining for Business and Industry, 2nd edition is aimed at advanced undergraduate and graduate students of data mining, applied statistics, database management, computer science and economics. The case studies will provide guidance to professionals working in industry on projects involving large volumes of data, such as customer relationship management, web design, risk management, marketing, economics and finance.



Applied Data Mining


Applied Data Mining
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Author : Paolo Giudici
language : en
Publisher: John Wiley & Sons
Release Date : 2005-09-27

Applied Data Mining written by Paolo Giudici and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-09-27 with Computers categories.


Data mining can be defined as the process of selection, explorationand modelling of large databases, in order to discover models andpatterns. The increasing availability of data in the currentinformation society has led to the need for valid tools for itsmodelling and analysis. Data mining and applied statistical methodsare the appropriate tools to extract such knowledge from data.Applications occur in many different fields, including statistics,computer science, machine learning, economics, marketing andfinance. This book is the first to describe applied data mining methodsin a consistent statistical framework, and then show how they canbe applied in practice. All the methods described are eithercomputational, or of a statistical modelling nature. Complexprobabilistic models and mathematical tools are not used, so thebook is accessible to a wide audience of students and industryprofessionals. The second half of the book consists of nine casestudies, taken from the author's own work in industry, thatdemonstrate how the methods described can be applied to realproblems. Provides a solid introduction to applied data mining methods ina consistent statistical framework Includes coverage of classical, multivariate and Bayesianstatistical methodology Includes many recent developments such as web mining,sequential Bayesian analysis and memory based reasoning Each statistical method described is illustrated with real lifeapplications Features a number of detailed case studies based on appliedprojects within industry Incorporates discussion on software used in data mining, withparticular emphasis on SAS Supported by a website featuring data sets, software andadditional material Includes an extensive bibliography and pointers to furtherreading within the text Author has many years experience teaching introductory andmultivariate statistics and data mining, and working on appliedprojects within industry A valuable resource for advanced undergraduate and graduatestudents of applied statistics, data mining, computer science andeconomics, as well as for professionals working in industry onprojects involving large volumes of data - such as in marketing orfinancial risk management.



Technical Bulletin Texas Engineering Experiment Station


Technical Bulletin Texas Engineering Experiment Station
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Author : Texas Engineering Experiment Station
language : en
Publisher:
Release Date : 1980

Technical Bulletin Texas Engineering Experiment Station written by Texas Engineering Experiment Station and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with categories.




Applied Business Analytics


Applied Business Analytics
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Author : Nathaniel Lin
language : en
Publisher: FT Press
Release Date : 2014-12-12

Applied Business Analytics written by Nathaniel Lin and has been published by FT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-12-12 with Business & Economics categories.


Bridge the gap between analytics and execution, and actually translate analytics into better business decision-making! Now that you've collected data and crunched numbers, Applied Business Analytics reveals how to fully apply the information and knowledge you've gleaned from quants and tech teams. Nathaniel Lin explains why "analytics value chains" often break due to organizational and cultural issues, and offers "in the trenches" guidance for overcoming these obstacles. You'll discover why a special breed of "analytics deciders" is indispensable for any organization that seeks to compete on analytics... how to become one of those deciders... and how to identify, foster, support, empower, and reward others to join you. Lin draws on actual cases and examples from his own experience, augmenting them with hands-on examples and exercises to integrate analytics at all levels: from top-level business questions to low-level technical details. Along the way, you'll learn how to bring together analytics team members with widely diverse goals, knowledge, and backgrounds. Coverage includes: How analytical and conventional decision making differ — and the challenging implications How to determine who your analytics deciders are, and ought to be Proven best practices for actually applying analytics to decision-making How to optimize your use of analytics as an analyst, manager, executive, or C-level officer Applied Business Analytics will be invaluable to wide audiences of professionals, decision-makers, and consultants involved in analytics, including Chief Analytics Officers, Chief Data Officers, Chief Scientists, Chief Marketing Officers, Chief Risk Officers, Chief Strategy Officers, VPs of Analytics and/or Big Data, data scientists, business strategists, and line of business executives. It will also be exceptionally useful to students of analytics in any graduate, undergraduate, or certificate program, including candidates for INFORMS certification.



Manual Of Remote Sensing


Manual Of Remote Sensing
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Author :
language : en
Publisher:
Release Date : 1983

Manual Of Remote Sensing written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1983 with Remote sensing categories.


Volume 1: Theory, instruments and techniques. - Volume 2: Interpretation and applications.



Library Of Congress Catalogs


Library Of Congress Catalogs
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Author : Library of Congress
language : en
Publisher:
Release Date : 1980

Library Of Congress Catalogs written by Library of Congress and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1980 with categories.




Crrel Technical Publications


Crrel Technical Publications
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Author : Cold Regions Research and Engineering Laboratory (U.S.)
language : en
Publisher:
Release Date : 1981

Crrel Technical Publications written by Cold Regions Research and Engineering Laboratory (U.S.) and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1981 with Engineering categories.