Relational Calculus For Actionable Knowledge

Download Relational Calculus For Actionable Knowledge full books in PDF, epub, and Kindle. Read online Relational Calculus For Actionable Knowledge ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Relational Calculus for Actionable Knowledge

Author : Michel Barès
Publisher : Springer Nature
ISBN 13 : 3030924300
Total Pages : 356 pages
Book Rating : 4.0/5 (39 download)

DOWNLOAD NOW!

Book Synopsis Relational Calculus for Actionable Knowledge by : Michel Barès

Download or read book Relational Calculus for Actionable Knowledge written by Michel Barès and published by Springer Nature. This book was released on 2022-01-21 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book focuses on one of the major challenges of the newly created scientific domain known as data science: turning data into actionable knowledge in order to exploit increasing data volumes and deal with their inherent complexity. Actionable knowledge has been qualitatively and intensively studied in management, business, and the social sciences but in computer science and engineering, its connection has only recently been established to data mining and its evolution, ‘Knowledge Discovery and Data Mining’ (KDD). Data mining seeks to extract interesting patterns from data, but, until now, the patterns discovered from data have not always been ‘actionable’ for decision-makers in Socio-Technical Organizations (STO). With the evolution of the Internet and connectivity, STOs have evolved into Cyber-Physical and Social Systems (CPSS) that are known to describe our world today. In such complex and dynamic environments, the conventional KDD process is insufficient, and additional processes are required to transform complex data into actionable knowledge. Readers are presented with advanced knowledge concepts and the analytics and information fusion (AIF) processes aimed at delivering actionable knowledge. The authors provide an understanding of the concept of ‘relation’ and its exploitation, relational calculus, as well as the formalization of specific dimensions of knowledge that achieve a semantic growth along the AIF processes. This book serves as an important technical presentation of relational calculus and its application to processing chains in order to generate actionable knowledge. It is ideal for graduate students, researchers, or industry professionals interested in decision science and knowledge engineering.

Theory and Applications of Relational Structures as Knowledge Instruments

Author : Harrie de Swart
Publisher : Springer
ISBN 13 : 3540246150
Total Pages : 280 pages
Book Rating : 4.5/5 (42 download)

DOWNLOAD NOW!

Book Synopsis Theory and Applications of Relational Structures as Knowledge Instruments by : Harrie de Swart

Download or read book Theory and Applications of Relational Structures as Knowledge Instruments written by Harrie de Swart and published by Springer. This book was released on 2004-01-30 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Relational structures abound in our daily environment: relational databases, data mining, scaling procedures, preference relations, etc. As the documentation of scientific results achieved within the European COST Action 274, TARSKI, this book advances the understanding of relational structures and the use of relational methods in various application fields. The 12 revised full papers were carefully reviewed and selected for presentations. The papers are devoted to mechanization of relational reasoning, relational scaling and preferences, and algebraic and logical foundations of real world relations.

Machine Learning and Data Mining for Sports Analytics

Author : Ulf Brefeld
Publisher : Springer
ISBN 13 : 3030172740
Total Pages : 179 pages
Book Rating : 4.0/5 (31 download)

DOWNLOAD NOW!

Book Synopsis Machine Learning and Data Mining for Sports Analytics by : Ulf Brefeld

Download or read book Machine Learning and Data Mining for Sports Analytics written by Ulf Brefeld and published by Springer. This book was released on 2019-04-06 with total page 179 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 5th International Workshop on Machine Learning and Data Mining for Sports Analytics, MLSA 2018, colocated with ECML/PKDD 2018, in Dublin, Ireland, in September 2018. The 12 full papers presented together with 4 challenge papers were carefully reviewed and selected from 24 submissions. The papers present a variety of topics, covering the team sports American football, basketball, ice hockey, and soccer, as well as the individual sports cycling and martial arts. In addition, four challenge papers are included, reporting on how to predict pass receivers in soccer.

The Data Wrangling Workshop

Author : Brian Lipp
Publisher : Packt Publishing Ltd
ISBN 13 : 1838988025
Total Pages : 575 pages
Book Rating : 4.8/5 (389 download)

DOWNLOAD NOW!

Book Synopsis The Data Wrangling Workshop by : Brian Lipp

Download or read book The Data Wrangling Workshop written by Brian Lipp and published by Packt Publishing Ltd. This book was released on 2020-07-29 with total page 575 pages. Available in PDF, EPUB and Kindle. Book excerpt: A beginner's guide to simplifying Extract, Transform, Load (ETL) processes with the help of hands-on tips, tricks, and best practices, in a fun and interactive way Key FeaturesExplore data wrangling with the help of real-world examples and business use casesStudy various ways to extract the most value from your data in minimal timeBoost your knowledge with bonus topics, such as random data generation and data integrity checksBook Description While a huge amount of data is readily available to us, it is not useful in its raw form. For data to be meaningful, it must be curated and refined. If you're a beginner, then The Data Wrangling Workshop will help to break down the process for you. You'll start with the basics and build your knowledge, progressing from the core aspects behind data wrangling, to using the most popular tools and techniques. This book starts by showing you how to work with data structures using Python. Through examples and activities, you'll understand why you should stay away from traditional methods of data cleaning used in other languages and take advantage of the specialized pre-built routines in Python. Later, you'll learn how to use the same Python backend to extract and transform data from an array of sources, including the internet, large database vaults, and Excel financial tables. To help you prepare for more challenging scenarios, the book teaches you how to handle missing or incorrect data, and reformat it based on the requirements from your downstream analytics tool. By the end of this book, you will have developed a solid understanding of how to perform data wrangling with Python, and learned several techniques and best practices to extract, clean, transform, and format your data efficiently, from a diverse array of sources. What you will learnGet to grips with the fundamentals of data wranglingUnderstand how to model data with random data generation and data integrity checksDiscover how to examine data with descriptive statistics and plotting techniquesExplore how to search and retrieve information with regular expressionsDelve into commonly-used Python data science librariesBecome well-versed with how to handle and compensate for missing dataWho this book is for The Data Wrangling Workshop is designed for developers, data analysts, and business analysts who are looking to pursue a career as a full-fledged data scientist or analytics expert. Although this book is for beginners who want to start data wrangling, prior working knowledge of the Python programming language is necessary to easily grasp the concepts covered here. It will also help to have a rudimentary knowledge of relational databases and SQL.

Knowing What Students Know

Author : National Research Council
Publisher : National Academies Press
ISBN 13 : 0309293227
Total Pages : 383 pages
Book Rating : 4.3/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Knowing What Students Know by : National Research Council

Download or read book Knowing What Students Know written by National Research Council and published by National Academies Press. This book was released on 2001-10-27 with total page 383 pages. Available in PDF, EPUB and Kindle. Book excerpt: Education is a hot topic. From the stage of presidential debates to tonight's dinner table, it is an issue that most Americans are deeply concerned about. While there are many strategies for improving the educational process, we need a way to find out what works and what doesn't work as well. Educational assessment seeks to determine just how well students are learning and is an integral part of our quest for improved education. The nation is pinning greater expectations on educational assessment than ever before. We look to these assessment tools when documenting whether students and institutions are truly meeting education goals. But we must stop and ask a crucial question: What kind of assessment is most effective? At a time when traditional testing is subject to increasing criticism, research suggests that new, exciting approaches to assessment may be on the horizon. Advances in the sciences of how people learn and how to measure such learning offer the hope of developing new kinds of assessments-assessments that help students succeed in school by making as clear as possible the nature of their accomplishments and the progress of their learning. Knowing What Students Know essentially explains how expanding knowledge in the scientific fields of human learning and educational measurement can form the foundations of an improved approach to assessment. These advances suggest ways that the targets of assessment-what students know and how well they know it-as well as the methods used to make inferences about student learning can be made more valid and instructionally useful. Principles for designing and using these new kinds of assessments are presented, and examples are used to illustrate the principles. Implications for policy, practice, and research are also explored. With the promise of a productive research-based approach to assessment of student learning, Knowing What Students Know will be important to education administrators, assessment designers, teachers and teacher educators, and education advocates.

Data Science from Scratch

Author : Joel Grus
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1491904402
Total Pages : 330 pages
Book Rating : 4.4/5 (919 download)

DOWNLOAD NOW!

Book Synopsis Data Science from Scratch by : Joel Grus

Download or read book Data Science from Scratch written by Joel Grus and published by "O'Reilly Media, Inc.". This book was released on 2015-04-14 with total page 330 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they’re also a good way to dive into the discipline without actually understanding data science. In this book, you’ll learn how many of the most fundamental data science tools and algorithms work by implementing them from scratch. If you have an aptitude for mathematics and some programming skills, author Joel Grus will help you get comfortable with the math and statistics at the core of data science, and with hacking skills you need to get started as a data scientist. Today’s messy glut of data holds answers to questions no one’s even thought to ask. This book provides you with the know-how to dig those answers out. Get a crash course in Python Learn the basics of linear algebra, statistics, and probability—and understand how and when they're used in data science Collect, explore, clean, munge, and manipulate data Dive into the fundamentals of machine learning Implement models such as k-nearest Neighbors, Naive Bayes, linear and logistic regression, decision trees, neural networks, and clustering Explore recommender systems, natural language processing, network analysis, MapReduce, and databases

Feature Learning and Understanding

Author : Haitao Zhao
Publisher : Springer Nature
ISBN 13 : 3030407942
Total Pages : 299 pages
Book Rating : 4.0/5 (34 download)

DOWNLOAD NOW!

Book Synopsis Feature Learning and Understanding by : Haitao Zhao

Download or read book Feature Learning and Understanding written by Haitao Zhao and published by Springer Nature. This book was released on 2020-04-03 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence.

Common Core Math For Parents For Dummies with Videos Online

Author : Christopher Danielson
Publisher : John Wiley & Sons
ISBN 13 : 1119013933
Total Pages : 235 pages
Book Rating : 4.1/5 (19 download)

DOWNLOAD NOW!

Book Synopsis Common Core Math For Parents For Dummies with Videos Online by : Christopher Danielson

Download or read book Common Core Math For Parents For Dummies with Videos Online written by Christopher Danielson and published by John Wiley & Sons. This book was released on 2015-04-06 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: Help your child succeed with a better understanding of Common Core Math Common Core Math For Parents For Dummies is packed with tools and information to help you promote your child's success in math. The grade-by-grade walk-through brings you up to speed on what your child is learning, and the sample problems and video lessons help you become more involved as you study together. You'll learn how to effectively collaborate with teachers and keep tabs on your child's progress, so minor missteps can be corrected quickly, before your child falls behind. The Common Core was designed to improve college- and career-readiness, and to prepare U.S. students to be more competitive on an international stage when it's time to enter the workforce. This guide shows you how the standards were created, and how they've evolved over time to help ensure your child's future success. The Common Core Math Standards prepare students to do real math in the real world. Many new teaching methods are very different from the way most parents learned math, leading to frustration and confusion as parents find themselves unable to help with homework or explain difficult concepts. This book cuts the confusion and shows you everything you need to know to help your child succeed in math. Understand the key concepts being taught in your child's grade Utilize the homework tools that help you help your child Communicate more effectively with your child's teacher Guide your child through sample problems to foster understanding The Common Core was designed to ensure that every student, regardless of location or background, receives the education they need. Math skills are critical to real-world success, and the new standards reflect that reality in scope and rigorousness. Common Core Math For Parents For Dummies helps you help your child succeed.

Biosurveillance and Biosecurity

Author : Daniel Zeng
Publisher : Springer Science & Business Media
ISBN 13 : 3540897453
Total Pages : 192 pages
Book Rating : 4.5/5 (48 download)

DOWNLOAD NOW!

Book Synopsis Biosurveillance and Biosecurity by : Daniel Zeng

Download or read book Biosurveillance and Biosecurity written by Daniel Zeng and published by Springer Science & Business Media. This book was released on 2008-11-13 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the International Workshop on Biosurveillance and Biosecurity, BioSecure 2008, held in Raleigh, NC, USA, in December 2008. The 18 revised full papers presented together with one invited paper were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on informatics infrastructure and policy considerations; network-based data analytics; biosurveillance models and outbreak detection; model assessment and case studies; environmental biosurveillance and case studies.

Data Analytics for Drilling Engineering

Author : Qilong Xue
Publisher : Springer Nature
ISBN 13 : 303034035X
Total Pages : 312 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Data Analytics for Drilling Engineering by : Qilong Xue

Download or read book Data Analytics for Drilling Engineering written by Qilong Xue and published by Springer Nature. This book was released on 2019-12-30 with total page 312 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the signal processing and data mining challenges encountered in drilling engineering, and describes the methods used to overcome them. In drilling engineering, many signal processing technologies are required to solve practical problems, such as downhole information transmission, spatial attitude of drillstring, drillstring dynamics, seismic activity while drilling, among others. This title attempts to bridge the gap between the signal processing and data mining and oil and gas drilling engineering communities. There is an urgent need to summarize signal processing and data mining issues in drilling engineering so that practitioners in these fields can understand each other in order to enhance oil and gas drilling functions. In summary, this book shows the importance of signal processing and data mining to researchers and professional drilling engineers and open up a new area of application for signal processing and data mining scientists.

Text Analytics with Python

Author : Dipanjan Sarkar
Publisher : Apress
ISBN 13 : 1484223888
Total Pages : 397 pages
Book Rating : 4.4/5 (842 download)

DOWNLOAD NOW!

Book Synopsis Text Analytics with Python by : Dipanjan Sarkar

Download or read book Text Analytics with Python written by Dipanjan Sarkar and published by Apress. This book was released on 2016-11-30 with total page 397 pages. Available in PDF, EPUB and Kindle. Book excerpt: Derive useful insights from your data using Python. You will learn both basic and advanced concepts, including text and language syntax, structure, and semantics. You will focus on algorithms and techniques, such as text classification, clustering, topic modeling, and text summarization. Text Analytics with Python teaches you the techniques related to natural language processing and text analytics, and you will gain the skills to know which technique is best suited to solve a particular problem. You will look at each technique and algorithm with both a bird's eye view to understand how it can be used as well as with a microscopic view to understand the mathematical concepts and to implement them to solve your own problems. What You Will Learn: Understand the major concepts and techniques of natural language processing (NLP) and text analytics, including syntax and structure Build a text classification system to categorize news articles, analyze app or game reviews using topic modeling and text summarization, and cluster popular movie synopses and analyze the sentiment of movie reviews Implement Python and popular open source libraries in NLP and text analytics, such as the natural language toolkit (nltk), gensim, scikit-learn, spaCy and Pattern Who This Book Is For : IT professionals, analysts, developers, linguistic experts, data scientists, and anyone with a keen interest in linguistics, analytics, and generating insights from textual data

Implementing Service Level Objectives

Author : Alex Hidalgo
Publisher : O'Reilly Media
ISBN 13 : 1492076783
Total Pages : 404 pages
Book Rating : 4.4/5 (92 download)

DOWNLOAD NOW!

Book Synopsis Implementing Service Level Objectives by : Alex Hidalgo

Download or read book Implementing Service Level Objectives written by Alex Hidalgo and published by O'Reilly Media. This book was released on 2020-08-05 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt: Although service-level objectives (SLOs) continue to grow in importance, there’s a distinct lack of information about how to implement them. Practical advice that does exist usually assumes that your team already has the infrastructure, tooling, and culture in place. In this book, recognized SLO expert Alex Hidalgo explains how to build an SLO culture from the ground up. Ideal as a primer and daily reference for anyone creating both the culture and tooling necessary for SLO-based approaches to reliability, this guide provides detailed analysis of advanced SLO and service-level indicator (SLI) techniques. Armed with mathematical models and statistical knowledge to help you get the most out of an SLO-based approach, you’ll learn how to build systems capable of measuring meaningful SLIs with buy-in across all departments of your organization. Define SLIs that meaningfully measure the reliability of a service from a user’s perspective Choose appropriate SLO targets, including how to perform statistical and probabilistic analysis Use error budgets to help your team have better discussions and make better data-driven decisions Build supportive tooling and resources required for an SLO-based approach Use SLO data to present meaningful reports to leadership and your users

Knowledge Solutions

Author : Olivier Serrat
Publisher : Springer
ISBN 13 : 981100983X
Total Pages : 1098 pages
Book Rating : 4.8/5 (11 download)

DOWNLOAD NOW!

Book Synopsis Knowledge Solutions by : Olivier Serrat

Download or read book Knowledge Solutions written by Olivier Serrat and published by Springer. This book was released on 2017-05-22 with total page 1098 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is open access under a CC BY-NC 3.0 IGO license. This book comprehensively covers topics in knowledge management and competence in strategy development, management techniques, collaboration mechanisms, knowledge sharing and learning, as well as knowledge capture and storage. Presented in accessible “chunks,” it includes more than 120 topics that are essential to high-performance organizations. The extensive use of quotes by respected experts juxtaposed with relevant research to counterpoint or lend weight to key concepts; “cheat sheets” that simplify access and reference to individual articles; as well as the grouping of many of these topics under recurrent themes make this book unique. In addition, it provides scalable tried-and-tested tools, method and approaches for improved organizational effectiveness. The research included is particularly useful to knowledge workers engaged in executive leadership; research, analysis and advice; and corporate management and administration. It is a valuable resource for those working in the public, private and third sectors, both in industrialized and developing countries.

Managing Industrial Knowledge

Author : Ikujiro Nonaka
Publisher : SAGE
ISBN 13 : 1446232042
Total Pages : 360 pages
Book Rating : 4.4/5 (462 download)

DOWNLOAD NOW!

Book Synopsis Managing Industrial Knowledge by : Ikujiro Nonaka

Download or read book Managing Industrial Knowledge written by Ikujiro Nonaka and published by SAGE. This book was released on 2001-02-06 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Managing Industrial Knowledge illuminates the complex processes at work in the creation and successful transfer of corporate knowledge. It is now generally recognized that the competitive advantages of firms depends on their ability to build, utilize and protect knowledge assets. In this volume many of the foremost international authors and pioneers of the study of knowledge in firms present their latest work and insights into organizational knowledge and innovation. In a world where markets, products, technologies, competitors, regulations, and even societies change rapidly, continuous innovation and the knowledge that produces innovation have become key. The chapters in this keynote volume shed new light on the contextual factors in knowledge creation, the links between knowledge and innovation in all aspects of business life and the processes by which these may be fostered or lost in organizations.

Possibility Theory for the Design of Information Fusion Systems

Author : Basel Solaiman
Publisher : Springer Nature
ISBN 13 : 3030328538
Total Pages : 294 pages
Book Rating : 4.0/5 (33 download)

DOWNLOAD NOW!

Book Synopsis Possibility Theory for the Design of Information Fusion Systems by : Basel Solaiman

Download or read book Possibility Theory for the Design of Information Fusion Systems written by Basel Solaiman and published by Springer Nature. This book was released on 2019-12-26 with total page 294 pages. Available in PDF, EPUB and Kindle. Book excerpt: This practical guidebook describes the basic concepts, the mathematical developments, and the engineering methodologies for exploiting possibility theory for the computer-based design of an information fusion system where the goal is decision support for industries in smart ICT (information and communications technologies). This exploitation of possibility theory improves upon probability theory, complements Dempster-Shafer theory, and fills an important gap in this era of Big Data and Internet of Things. The book discusses fundamental possibilistic concepts: distribution, necessity measure, possibility measure, joint distribution, conditioning, distances, similarity measures, possibilistic decisions, fuzzy sets, fuzzy measures and integrals, and finally, the interrelated theories of uncertainty..uncertainty. These topics form an essential tour of the mathematical tools needed for the latter chapters of the book. These chapters present applications related to decision-making and pattern recognition schemes, and finally, a concluding chapter on the use of possibility theory in the overall challenging design of an information fusion system. This book will appeal to researchers and professionals in the field of information fusion and analytics, information and knowledge processing, smart ICT, and decision support systems.

Information Quality in Information Fusion and Decision Making

Author : Éloi Bossé
Publisher : Springer
ISBN 13 : 303003643X
Total Pages : 620 pages
Book Rating : 4.0/5 (3 download)

DOWNLOAD NOW!

Book Synopsis Information Quality in Information Fusion and Decision Making by : Éloi Bossé

Download or read book Information Quality in Information Fusion and Decision Making written by Éloi Bossé and published by Springer. This book was released on 2019-04-02 with total page 620 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents a contemporary view of the role of information quality in information fusion and decision making, and provides a formal foundation and the implementation strategies required for dealing with insufficient information quality in building fusion systems for decision making. Information fusion is the process of gathering, processing, and combining large amounts of information from multiple and diverse sources, including physical sensors to human intelligence reports and social media. That data and information may be unreliable, of low fidelity, insufficient resolution, contradictory, fake and/or redundant. Sources may provide unverified reports obtained from other sources resulting in correlations and biases. The success of the fusion processing depends on how well knowledge produced by the processing chain represents reality, which in turn depends on how adequate data are, how good and adequate are the models used, and how accurate, appropriate or applicable prior and contextual knowledge is. By offering contributions by leading experts, this book provides an unparalleled understanding of the problem of information quality in information fusion and decision-making for researchers and professionals in the field.

The Cambridge Handbook of Cognition and Education

Author : John Dunlosky
Publisher : Cambridge University Press
ISBN 13 : 1108245102
Total Pages : 1130 pages
Book Rating : 4.1/5 (82 download)

DOWNLOAD NOW!

Book Synopsis The Cambridge Handbook of Cognition and Education by : John Dunlosky

Download or read book The Cambridge Handbook of Cognition and Education written by John Dunlosky and published by Cambridge University Press. This book was released on 2019-02-07 with total page 1130 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Handbook reviews a wealth of research in cognitive and educational psychology that investigates how to enhance learning and instruction to aid students struggling to learn and to advise teachers on how best to support student learning. The Handbook includes features that inform readers about how to improve instruction and student achievement based on scientific evidence across different domains, including science, mathematics, reading and writing. Each chapter supplies a description of the learning goal, a balanced presentation of the current evidence about the efficacy of various approaches to obtaining that learning goal, and a discussion of important future directions for research in this area. It is the ideal resource for researchers continuing their study of this field or for those only now beginning to explore how to improve student achievement.