Hale Robert Time Series Analysis in Meteorology and Climatology. An Introduction
Time Series Analysis in Meteorology and Climatology provides an accessible overview of this notoriously difficult subject. Clearly structured throughout, the authors develop sufficient theoretical foundation to understand the basis for applying various analytical methods to a time series and show clearly how to interpret the results. Taking a unique approach to the subject, the authors use a combination of theory and application to real data sets to enhance student understanding throughout the book. This book is written for those students that have a data set in the form of a time series and are confronted with the problem of how to analyse this data. Each chapter covers the various methods that can be used to carry out this analysis with coverage of the necessary theory and its application. In the theoretical section topics covered include; the mathematical origin of spectrum windows, leakage of variance and understanding spectrum windows. The applications section includes real data sets for students to analyse. Scalar variables are used for ease of understanding for example air temperatures, wind speed and precipitation. Students are encouraged to write their own computer programmes and data sets are provided to enable them to recognize quickly whether their programme is working correctly- one data set is provided with artificial data and the other with real data where the students are required to physically interpret the results of their periodgram analysis. Based on the acclaimed and long standing course at the University of Oklahoma and part of the RMetS Advancing Weather and Climate Science Series, this book is distinct in its approach to the subject matter in that it is written specifically for readers in meteorology and climatology and uses a mix of theory and application to real data sets.
Kenett Ron S. Operational Risk Management. A Practical Approach to Intelligent Data Analysis
Models and methods for operational risks assessment and mitigation are gaining importance in financial institutions, healthcare organizations, industry, businesses and organisations in general. This book introduces modern Operational Risk Management and describes how various data sources of different types, both numeric and semantic sources such as text can be integrated and analyzed. The book also demonstrates how Operational Risk Management is synergetic to other risk management activities such as Financial Risk Management and Safety Management. Operational Risk Management: a practical approach to intelligent data analysis provides practical and tested methodologies for combining structured and unstructured, semantic-based data, and numeric data, in Operational Risk Management (OpR) data analysis. Key Features: The book is presented in four parts: 1) Introduction to OpR Management, 2) Data for OpR Management, 3) OpR Analytics and 4) OpR Applications and its Integration with other Disciplines. Explores integration of semantic, unstructured textual data, in Operational Risk Management. Provides novel techniques for combining qualitative and quantitative information to assess risks and design mitigation strategies. Presents a comprehensive treatment of «near-misses» data and incidents in Operational Risk Management. Looks at case studies in the financial and industrial sector. Discusses application of ontology engineering to model knowledge used in Operational Risk Management. Many real life examples are presented, mostly based on the MUSING project co-funded by the EU FP6 Information Society Technology Programme. It provides a unique multidisciplinary perspective on the important and evolving topic of Operational Risk Management. The book will be useful to operational risk practitioners, risk managers in banks, hospitals and industry looking for modern approaches to risk management that combine an analysis of structured and unstructured data. The book will also benefit academics interested in research in this field, looking for techniques developed in response to real world problems.
Unpacking Construction Site Safety provides a different perspective of safety in practice. ? examines how useful the concept of safety actually is to the development of effective management interventions ? providing new insights and information to the audience, and assist in a more informed development of new approaches in practice ? aimed at safety and construction management practitioners as well as academics
Robert Weygant S. BIM Content Development. Standards, Strategies, and Best Practices
A must-have reference to create content-rich BIM objects and models A cutting-edge technology, Building Information Modeling (BIM) software allows AEC professionals to produce data-intensive 3D building models that far exceed those rendered with the 2D limitations of CAD, today's industry standard. Unlike CAD, however, no consensus has been reached among AEC industries for agreed upon guidelines directing BIM models. To fill this void, this book explores the different approaches used in designing a BIM model and incorporates them into one cohesive strategy that serves as a digital road map going forward. BIM Content Development: Details the various types of information (graphic and data) that Building Information Modeling (BIM) can gather about a building, such as its dimensions and material, its performance, its functionality, its interaction with other structures, and how often it must be maintained Presents a vendor-neutral approach to thinking about, organizing, and managing data used to create a 3D building model Covers the different methods for organizing content, such as CSI's MasterFormat®, Uniformat, OmniClass, and Industry Foundation Classes (IFC) Providing the means and methods for effective content creation, BIM Content Development offers sound guidance for graphic standards and data management solutions to maximize the ability of professionals to operate on any BIM software platform—and shows how to strengthen the decision-making process to unleash powerful tools for modeling a building's informational profile.
Lisa Arthur Big Data Marketing. Engage Your Customers More Effectively and Drive Value
Leverage big data insights to improve customer experiences and insure business success Many of today's businesses find themselves caught in a snarl of internal data, paralyzed by internal silos, and executing antiquated marketing approaches. As a result, consumers are losing patience, shareholders are clamoring for growth and differentiation, and marketers are left struggling to untangle the massive mess. Big Data Marketing provides a strategic road map for executives who want to clear the chaos and start driving competitive advantage and top line growth. Using real-world examples, non-technical language, additional downloadable resources, and a healthy dose of humor, Big Data Marketing will help you discover the remedy offered by data-driven marketing. Explains how marketers can use data to learn what they need to know Details strategies to drive marketing relevance and Return On Marketing Investment (ROMI) Provides a five-step approach in the journey to a more data-driven marketing organization Author Lisa Arthur, the Chief Marketing Officer for Teradata Applications, the leader in integrated marketing software, meets with thousands of CMOs and marketing professionals annually through public speaking and events Big Data Marketing reveals patterns in your customers' behavior and proven ways to elevate customer experiences. Leverage these insights to insure your business's success.
Duncan Irving H.B. Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models
Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years in the industry, this book shows you how to leverage continually maturing computational intelligence to gain deeper insight from specific exploration data. Case studies illustrate the value propositions of this alternative analytical workflow, and in-depth discussion addresses the many Big Data issues in geophysics and petrophysics. From data collection and context through real-world everyday applications, this book provides an essential resource for anyone involved in oil and gas exploration. Recent and continual advances in machine learning are driving a rapid increase in empirical modeling capabilities. This book shows you how these new tools and methodologies can enhance geophysical and petrophysical data analysis, increasing the value of your exploration data. Apply data-driven modeling concepts in a geophysical and petrophysical context Learn how to get more information out of models and simulations Add value to everyday tasks with the appropriate Big Data application Adjust methodology to suit diverse geophysical and petrophysical contexts Data-driven modeling focuses on analyzing the total data within a system, with the goal of uncovering connections between input and output without definitive knowledge of the system's physical behavior. This multi-faceted approach pushes the boundaries of conventional modeling, and brings diverse fields of study together to apply new information and technology in new and more valuable ways. Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models takes you beyond traditional deterministic interpretation to the future of exploration data analysis.
Russell Anderson K. Visual Data Mining. The VisMiner Approach
A visual approach to data mining. Data mining has been defined as the search for useful and previously unknown patterns in large datasets, yet when faced with the task of mining a large dataset, it is not always obvious where to start and how to proceed. This book introduces a visual methodology for data mining demonstrating the application of methodology along with a sequence of exercises using VisMiner. VisMiner has been developed by the author and provides a powerful visual data mining tool enabling the reader to see the data that they are working on and to visually evaluate the models created from the data. Key features: Presents visual support for all phases of data mining including dataset preparation. Provides a comprehensive set of non-trivial datasets and problems with accompanying software. Features 3-D visualizations of multi-dimensional datasets. Gives support for spatial data analysis with GIS like features. Describes data mining algorithms with guidance on when and how to use. Accompanied by VisMiner, a visual software tool for data mining, developed specifically to bridge the gap between theory and practice. Visual Data Mining: The VisMiner Approach is designed as a hands-on work book to introduce the methodologies to students in data mining, advanced statistics, and business intelligence courses. This book provides a set of tutorials, exercises, and case studies that support students in learning data mining processes. In praise of the VisMiner approach: «What we discovered among students was that the visualization concepts and tools brought the analysis alive in a way that was broadly understood and could be used to make sound decisions with greater certainty about the outcomes» —Dr. James V. Hansen, J. Owen Cherrington Professor, Marriott School, Brigham Young University, USA «Students learn best when they are able to visualize relationships between data and results during the data mining process. VisMiner is easy to learn and yet offers great visualization capabilities throughout the data mining process. My students liked it very much and so did I.» —Dr. Douglas Dean, Assoc. Professor of Information Systems, Marriott School, Brigham Young University, USA
Bill Schmarzo Big Data MBA. Driving Business Strategies with Data Science
Integrate big data into business to drive competitive advantage and sustainable success Big Data MBA brings insight and expertise to leveraging big data in business so you can harness the power of analytics and gain a true business advantage. Based on a practical framework with supporting methodology and hands-on exercises, this book helps identify where and how big data can help you transform your business. You'll learn how to exploit new sources of customer, product, and operational data, coupled with advanced analytics and data science, to optimize key processes, uncover monetization opportunities, and create new sources of competitive differentiation. The discussion includes guidelines for operationalizing analytics, optimal organizational structure, and using analytic insights throughout your organization's user experience to customers and front-end employees alike. You'll learn to “think like a data scientist” as you build upon the decisions your business is trying to make, the hypotheses you need to test, and the predictions you need to produce. Business stakeholders no longer need to relinquish control of data and analytics to IT. In fact, they must champion the organization's data collection and analysis efforts. This book is a primer on the business approach to analytics, providing the practical understanding you need to convert data into opportunity. Understand where and how to leverage big data Integrate analytics into everyday operations Structure your organization to drive analytic insights Optimize processes, uncover opportunities, and stand out from the rest Help business stakeholders to “think like a data scientist” Understand appropriate business application of different analytic techniques If you want data to transform your business, you need to know how to put it to use. Big Data MBA shows you how to implement big data and analytics to make better decisions.
Davies Jacqueline The Truth about Talent. A guide to building a dynamic workforce, realizing potential and helping leaders succeed
In this new book, Jacqueline Davies and Jeremy Kourdi argue that organizations are failing to realize the simple truth about talent: they are misunderstanding their people, making flawed choices and allowing the true potential of their workforce to go unused and unfulfilled. Understanding the truth about talent in all its forms is a vital step in developing an organization and ensuring long-term, sustainable success. A core part of their thesis is that organizations should recognize that people at different stages of their career and with different experiences and aspirations need to developed and engaged in different ways. The book provides a practical guide explaining how to segment the workforce, why, what to expect when you do, and how to ensure that this approach succeeds.
Mark Allen Master Data Management in Practice. Achieving True Customer MDM
In this book, authors Dalton Cervo and Mark Allen show you how to implement Master Data Management (MDM) within your business model to create a more quality controlled approach. Focusing on techniques that can improve data quality management, lower data maintenance costs, reduce corporate and compliance risks, and drive increased efficiency in customer data management practices, the book will guide you in successfully managing and maintaining your customer master data. You'll find the expert guidance you need, complete with tables, graphs, and charts, in planning, implementing, and managing MDM.
Т. Комарова K-anonymity: A note on the trade-off between data utility and data security
Researchers often use data from multiple datasets to conduct credible econometric and statistical analysis. The most reliable way to link entries across such datasets is to exploit unique identifiers if those are available. Such linkage however may result in privacy violations revealing sensitive information about some individuals in a sample. Thus, a data curator with concerns for individual privacy may choose to remove certain individual information from the private dataset they plan on releasing to researchers. The extent of individual information the data curator keeps in the private dataset can still allow a researcher to link the datasets, most likely with some errors, and usually results in a researcher having several feasible combined datasets. One conceptual framework a data curator may rely on is k-anonymity, k ≥ 2, which gained wide popularity in computer science and statistical community. To ensure k-anonymity, the data curator releases only the amount of identifying information in the private dataset that guarantees that every entry in it can be linked to at least k different entries in the publicly available datasets the researcher will use. In this paper, we look at the data combination task and the estimation task from both perspectives – from the perspective of the researcher estimating the model and from the perspective of a data curator who restricts identifying information in the private dataset to make sure that k-anonymity holds. We illustrate how to construct identifiers in practice and use them to combine some entries across two datasets. We also provide an empirical illustration on how a data curator can ensure k-anonymity and consequences it has on the estimation procedure. Naturally, the utility of the combined data gets smaller as k increases, which is also evident from our empirical illustration.
Victoria George St. Frank McKinney's Maverick Approach to Real Estate Success. How You can Go From a $50,000 Fixer-Upper to a $100 Million Mansion
Praise for Frank McKinney «My neighbor, Frank McKinney, is certainly a maverick and a spiritually grounded young man. The oceanfront homes he builds here in Florida are magnificent and unique. More important, Frank's life and the contributions he makes to his community and the world illustrate how a successful businessman can do well while doing good. The principles in Frank McKinney's Maverick Approach to Real Estate Success represent a road map of his achievements–a proven strategy for succeeding not just in real estate, but also in the business of life.» –Rich DeVos, cofounder of Amway, owner of the Orlando Magic «If you're ready to make big profits in real estate, then read, absorb, and use the brilliance of Frank McKinney.» –Mark Victor Hansen, coauthor of The One Minute Millionaire «Frank McKinney's book is an excellent how-to guide to earning real estate profits by using McKinney's maverick formulas to find undervalued real estate with profit potential. McKinney is different. This isn't another how-to-get-rich-in-real-estate book. Instead, it is the lively success story of a real estate maverick. McKinney reveals his simple strategies, with intriguing personal profit examples that explain how his repeatable techniques work over and over.» –Robert J. Bruss, syndicated real estate columnist «If Hollywood were casting the role of a maverick who started with very little and went from a $50,000 fixer-upper to a $100 million mansion, they would choose Frank McKinney. Frank McKinney's Maverick Approach to Real Estate Success represents his approach to life. He decided to apply that approach to real estate and look what happened!» –Kendra Todd, winner of The Apprentice
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