Exploring The World Of Data Processing
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Exploring The World Of Data Processing
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Author : Claude J. DeRossi
language : en
Publisher: Reston
Release Date : 1975
Exploring The World Of Data Processing written by Claude J. DeRossi and has been published by Reston this book supported file pdf, txt, epub, kindle and other format this book has been release on 1975 with Computers categories.
Data Exploration Using Example Based Methods
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Author : Matteo Lissandrini
language : en
Publisher: Morgan & Claypool Publishers
Release Date : 2018-11-27
Data Exploration Using Example Based Methods written by Matteo Lissandrini and has been published by Morgan & Claypool Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-27 with Computers categories.
Data usually comes in a plethora of formats and dimensions, rendering the information extraction and exploration processes challenging. Thus, being able to perform exploratory analyses of the data with the intent of having an immediate glimpse of some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicated declarative languages (such as SQL) and mechanisms, while at the same time retaining the flexibility and expressiveness of such languages. Recently, we have witnessed a rediscovery of the so-called example-based methods, in which the user, or analyst, circumvents query languages by using examples as input. An example is a representative of the intended results or, in other words, an item from the result set. Example-based methods exploit inherent characteristics of the data to infer the results that the user has in mind but may not be able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when they are performing a particularly challenging task like finding duplicate items, or when they are simply exploring the data. In this book, we present an excursus over the main methods for exploratory analysis, with a particular focus on example-based methods. We show how different data types require different techniques and present algorithms that are specifically designed for relational, textual, and graph data. The book also presents the challenges and new frontiers of machine learning in online settings that have recently attracted the attention of the database community. The book concludes with a vision for further research and applications in this area.
Data Analysis
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Author : Charles Nehme
language : en
Publisher: Charles Nehme
Release Date :
Data Analysis written by Charles Nehme and has been published by Charles Nehme this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
In the ever-evolving landscape of business, data analysis has emerged as a powerful tool for decision-making, innovation, and competitive advantage. This book delves into the intricacies of data analysis and its practical applications in the corporate realm. Embark on a journey through the world of data analysis, exploring its fundamental concepts, methodologies, and real-world applications. Unveiling the Power of Data Analysis In this comprehensive guide, we delve into the fundamental principles of data analysis, enabling you to harness the power of data to drive business success. We begin by defining data analysis and its multifaceted role in business operations. Next, we embark on a journey through the different types of data analysis, each serving a distinct purpose in uncovering valuable insights. Data Collection and Preparation: Laying the Foundation Effective data analysis hinges on the quality and integrity of the data being analyzed. This chapter delves into meticulous data collection practices, emphasizing the importance of identifying reliable sources, ensuring data quality, and transforming data into a usable format. Exploratory Data Analysis (EDA): Unveiling Hidden Patterns EDA serves as the cornerstone of data analysis, enabling us to explore and understand the underlying structure of data. This chapter introduces you to various EDA techniques, equipping you with the tools to identify trends, patterns, and relationships within data sets. Data Modeling: Unleashing the Predictive Power of Data Data modeling takes data analysis to the next level, enabling us to create predictive models that forecast future outcomes. This chapter explores a range of data modeling techniques, from descriptive statistics to machine learning algorithms, demonstrating how to harness the predictive power of data. Data Visualization: Communicating Insights Effectively Data visualization plays a crucial role in translating complex data into clear and compelling visualizations. This chapter introduces you to various data visualization charts and graphs, along with their applications in communicating insights effectively to stakeholders. Decision Making with Data: Empowering Informed Choices Data analysis is not merely about collecting and analyzing data; it's about transforming data into actionable insights that drive informed decision-making. This chapter explores the role of data in supporting decision-making processes, emphasizing the importance of integrating data analysis into the decision-making framework. Data Ethics and Privacy: Navigating the Ethical Landscape With the growing reliance on data, ethical considerations have become paramount. This chapter delves into the ethical principles governing data collection, storage, and use, ensuring responsible data analysis and compliance with data protection regulations. Data Governance and Management: Ensuring Data Quality and Compliance Data governance establishes a framework for managing data effectively, ensuring its quality, security, and compliance. This chapter explores data governance frameworks and principles, providing guidance on implementing data governance practices in businesses. Case Studies of Data Analysis in Business: Real-world Applications Data analysis has revolutionized various business functions, from marketing and sales to customer service and operations. This chapter showcases real-world case studies that demonstrate the impact of data analysis on businesses, illustrating how data can be used to create competitive advantages and drive innovation. The Future of Data Analysis: Embracing Emerging Trends The world of data analysis is constantly evolving, with emerging trends such as big data, artificial intelligence, and machine learning transforming the way businesses collect, analyze, and use data. This chapter explores these emerging trends, highlighting their potential to transform businesses and drive innovation in the future. Embrace the Data Revolution In conclusion, this comprehensive guide equips you with the knowledge and skills to harness the power of data analysis and empower your business to make informed decisions, drive innovation, and achieve sustainable growth. As the world becomes increasingly data-driven, data analysis has emerged as a critical skill for businesses of all sizes. Embrace the data revolution and unlock the transformative potential of data analysis for your organization.
Practical Data Analysis
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Author : Dhiraj Bhuyan
language : en
Publisher: Dhiraj Bhuyan
Release Date : 2019-11-30
Practical Data Analysis written by Dhiraj Bhuyan and has been published by Dhiraj Bhuyan this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-11-30 with Computers categories.
“Practical Data Analysis – Using Python & Open Source Technology” uses a case-study based approach to explore some of the real-world applications of open source data analysis tools and techniques. Specifically, the following topics are covered in this book: 1. Open Source Data Analysis Tools and Techniques. 2. A Beginner’s Guide to “Python” for Data Analysis. 3. Implementing Custom Search Engines On The Fly. 4. Visualising Missing Data. 5. Sentiment Analysis and Named Entity Recognition. 6. Automatic Document Classification, Clustering and Summarisation. 7. Fraud Detection Using Machine Learning Techniques. 8. Forecasting - Using Data to Map the Future. 9. Continuous Monitoring and Real-Time Analytics. 10. Creating a Robot for Interacting with Web Applications. Free samples of the book is available at - http://timesofdatascience.com
Discovering Knowledge In Data
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Author : Daniel T. Larose
language : en
Publisher: John Wiley & Sons
Release Date : 2014-06-02
Discovering Knowledge In Data written by Daniel T. Larose 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 2014-06-02 with Computers categories.
The field of data mining lies at the confluence of predictive analytics, statistical analysis, and business intelligence. Due to the ever-increasing complexity and size of data sets and the wide range of applications in computer science, business, and health care, the process of discovering knowledge in data is more relevant than ever before. This book provides the tools needed to thrive in today’s big data world. The author demonstrates how to leverage a company’s existing databases to increase profits and market share, and carefully explains the most current data science methods and techniques. The reader will “learn data mining by doing data mining”. By adding chapters on data modelling preparation, imputation of missing data, and multivariate statistical analysis, Discovering Knowledge in Data, Second Edition remains the eminent reference on data mining. The second edition of a highly praised, successful reference on data mining, with thorough coverage of big data applications, predictive analytics, and statistical analysis. Includes new chapters on Multivariate Statistics, Preparing to Model the Data, and Imputation of Missing Data, and an Appendix on Data Summarization and Visualization Offers extensive coverage of the R statistical programming language Contains 280 end-of-chapter exercises Includes a companion website for university instructors who adopt the book
Streaming Systems
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Author : Tyler Akidau
language : en
Publisher: "O'Reilly Media, Inc."
Release Date : 2018-07-16
Streaming Systems written by Tyler Akidau and has been published by "O'Reilly Media, Inc." this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-07-16 with Computers categories.
Streaming data is a big deal in big data these days. As more and more businesses seek to tame the massive unbounded data sets that pervade our world, streaming systems have finally reached a level of maturity sufficient for mainstream adoption. With this practical guide, data engineers, data scientists, and developers will learn how to work with streaming data in a conceptual and platform-agnostic way. Expanded from Tyler Akidau’s popular blog posts "Streaming 101" and "Streaming 102", this book takes you from an introductory level to a nuanced understanding of the what, where, when, and how of processing real-time data streams. You’ll also dive deep into watermarks and exactly-once processing with co-authors Slava Chernyak and Reuven Lax. You’ll explore: How streaming and batch data processing patterns compare The core principles and concepts behind robust out-of-order data processing How watermarks track progress and completeness in infinite datasets How exactly-once data processing techniques ensure correctness How the concepts of streams and tables form the foundations of both batch and streaming data processing The practical motivations behind a powerful persistent state mechanism, driven by a real-world example How time-varying relations provide a link between stream processing and the world of SQL and relational algebra
Exploring Research Data Management
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Author : Andrew Cox
language : en
Publisher: Facet Publishing
Release Date : 2018-05-11
Exploring Research Data Management written by Andrew Cox and has been published by Facet Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-05-11 with Business & Economics categories.
Research Data Management (RDM) has become a professional topic of great importance internationally following changes in scholarship and government policies about the sharing of research data. Exploring Research Data Management provides an accessible introduction and guide to RDM with engaging tasks for the reader to follow and develop their knowledge. Starting by exploring the world of research and the importance and complexity of data in the research process, the book considers how a multi-professional support service can be created then examines the decisions that need to be made in designing different types of research data service from local policy creation, training, through to creating a data repository. Coverage includes: A discussion of the drivers and barriers to RDM Institutional policy and making the case for Research Data Services Practical data management Data literacy and training researchers Ethics and research data services Case studies and practical advice from working in a Research Data Service. This book will be useful reading for librarians and other support professionals who are interested in learning more about RDM and developing Research Data Services in their own institution. It will also be of value to students on librarianship, archives, and information management courses studying topics such as RDM, digital curation, data literacies and open science.
Introductory Statistics
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Author : Robert Gould
language : en
Publisher:
Release Date : 2016-01-15
Introductory Statistics written by Robert Gould and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2016-01-15 with Statistics categories.
We live in a data-driven world, and the goal of this Canadian text is to teach students how to access and analyze these data critically. Canadian authors Jim Stallard and Michelle Boué emphasize that learning statistics extends beyond the classroom to an essential life skill, and want Canadian students to develop a "data habit of mind." Regardless of their math backgrounds, students will learn how to think about data and how to reason using data. With a clear, unintimidating writing style and carefully chosen pedagogy, this text makes data analysis accessible to all students. KEY TOPICS: Introduction to Data; Picturing Variation with Graphs; Numerical Summaries of Centre and Variation; Regression Analysis: Exploring Associations between Variables; Modelling Variation with Probability; Modeling Random Events: The Normal and Binomial Models; Survey Sampling and Inference; Hypothesis Testing for Population Proportions; Inferring Population Means; Associations between Categorical Variables; Multiple Comparisons and Analysis of Variance; Experimental Design: Controlling Variation; Inference without Normality;Inference for Regression MARKET: A textbook suitable for all introductory statistics courses
Mobility Data Management And Exploration
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Author : Nikos Pelekis
language : en
Publisher: Springer
Release Date : 2014-07-08
Mobility Data Management And Exploration written by Nikos Pelekis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-07-08 with Computers categories.
This text integrates different mobility data handling processes, from database management to multi-dimensional analysis and mining, into a unified presentation driven by the spectrum of requirements raised by real-world applications. It presents a step-by-step methodology to understand and exploit mobility data: collecting and cleansing data, storage in Moving Object Database (MOD) engines, indexing, processing, analyzing and mining mobility data. Emerging issues, such as semantic and privacy-aware querying and mining as well as distributed data processing, are also covered. Theoretical presentation is smoothly interchanged with hands-on exercises and case studies involving an actual MOD engine. The authors are established experts who address both theoretical and practical dimensions of the field but also present valuable prototype software. The background context, clear explanations and sample exercises make this an ideal textbook for graduate students studying database management, data mining and geographic information systems.
Catalog Of Copyright Entries Third Series
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Author : Library of Congress. Copyright Office
language : en
Publisher: Copyright Office, Library of Congress
Release Date : 1976
Catalog Of Copyright Entries Third Series written by Library of Congress. Copyright Office and has been published by Copyright Office, Library of Congress this book supported file pdf, txt, epub, kindle and other format this book has been release on 1976 with Copyright categories.