Knime Essentials


Knime Essentials
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Knime Essentials


Knime Essentials
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Author : Gábor Bakos
language : en
Publisher: Packt Publishing Ltd
Release Date : 2013-10-16

Knime Essentials written by Gábor Bakos and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-10-16 with Computers categories.


KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.



Knime Essentials


Knime Essentials
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Author : Gabor Bakos
language : en
Publisher: Packt Pub Limited
Release Date : 2013-07

Knime Essentials written by Gabor Bakos and has been published by Packt Pub Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-07 with Computers categories.


KNIME Essentials is a practical guide aimed at getting the results you want, as quickly as possible."Knime Essentials" is written for data analysts looking to quickly get up to speed using the market leader in data processing tools, KNIME. No knowledge of KNIME is required, but we will assume that you have some background in data processing.



Integration Of Data Mining In Business Intelligence Systems


Integration Of Data Mining In Business Intelligence Systems
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Author : Azevedo, Ana
language : en
Publisher: IGI Global
Release Date : 2014-09-30

Integration Of Data Mining In Business Intelligence Systems written by Azevedo, Ana and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-09-30 with Computers categories.


Uncovering and analyzing data associated with the current business environment is essential in maintaining a competitive edge. As such, making informed decisions based on this data is crucial to managers across industries. Integration of Data Mining in Business Intelligence Systems investigates the incorporation of data mining into business technologies used in the decision making process. Emphasizing cutting-edge research and relevant concepts in data discovery and analysis, this book is a comprehensive reference source for policymakers, academicians, researchers, students, technology developers, and professionals interested in the application of data mining techniques and practices in business information systems.



Data Analytics Essentials You Always Wanted To Know


Data Analytics Essentials You Always Wanted To Know
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Author : Vibrant Publishers
language : en
Publisher: Vibrant Publishers
Release Date : 2024-02-29

Data Analytics Essentials You Always Wanted To Know written by Vibrant Publishers and has been published by Vibrant Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-29 with Business & Economics categories.


Upon reading this book, you will get:  A fundamental comprehension of data analytics, including its types  An understanding of data analytics processes, software tools, and a range of analytics methodologies  A comprehension of what daily tasks and procedures the data analysts follow  An investigation into the vast field of big data analytics, covering its possibilities and challenges  An understanding of the existing legal frameworks, as well as ethical and privacy issues in data analytics  Application-based learning using a variety of real-world case studies From raw data to actionable insights - journey through the essentials of data analytics. Data Analytics Essentials You Always Wanted To Know is an approachable and captivating guide to understand the complicated world of data Data analytics is becoming increasingly important in today's data-driven society, and so has the demand for data analysts. Data Analytics Essentials You Always Wanted to Know (Data Analytics Essentials) is a comprehensive yet succinct manual, perfect for you if you are trying to understand the fundamentals of data analytics. It gives a concise introduction to data analytics and its current applicability. This book is a great tool for professionals switching to a career in data analytics and for students who want to learn the basics of data analytics. It will give you a strong foundation by explaining everything in an easy-to-understand language. Data Analytics Essentials goes beyond a theoretical manual and contains real-world case studies and fun facts to help you enhance your knowledge. The chapter summaries and self- assessment tests along with every chapter will help you test yourself as you move from one concept to the next.



Computational Intelligence Paradigms In Economic And Financial Decision Making


Computational Intelligence Paradigms In Economic And Financial Decision Making
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Author : Marina Resta
language : en
Publisher: Springer
Release Date : 2015-10-14

Computational Intelligence Paradigms In Economic And Financial Decision Making written by Marina Resta and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-10-14 with Technology & Engineering categories.


The book focuses on a set of cutting-edge research techniques, highlighting the potential of soft computing tools in the analysis of economic and financial phenomena and in providing support for the decision-making process. In the first part the textbook presents a comprehensive and self-contained introduction to the field of self-organizing maps, elastic maps and social network analysis tools and provides necessary background material on the topic, including a discussion of more recent developments in the field. In the second part the focus is on practical applications, with particular attention paid to budgeting problems, market simulations, and decision-making processes, and on how such problems can be effectively managed by developing proper methods to automatically detect certain patterns. The book offers a valuable resource for both students and practitioners with an introductory-level college math background.



Vuca And Other Analytics In Business Resilience


Vuca And Other Analytics In Business Resilience
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Author : Deepmala Singh
language : en
Publisher: Emerald Group Publishing
Release Date : 2024-05-13

Vuca And Other Analytics In Business Resilience written by Deepmala Singh and has been published by Emerald Group Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-05-13 with Business & Economics categories.


This volume brings together specialists from different disciplines and continents to discuss descriptive/diagnostic, predictive, and prescriptive analytics tools and how they might be used to investigate 'black swan' occurrences like the COVID-19-related worldwide catastrophe and the ramifications for managers and policymakers.



From Data To Discovery The Essential Guide To Big Data Analytics


From Data To Discovery The Essential Guide To Big Data Analytics
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Author : Dr.J.Premalatha
language : en
Publisher: SK Research Group of Companies
Release Date : 2024-02-27

From Data To Discovery The Essential Guide To Big Data Analytics written by Dr.J.Premalatha and has been published by SK Research Group of Companies this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-02-27 with Language Arts & Disciplines categories.


Dr.J.Premalatha, Vice Principal, Dhanalakshmi Srinivasan Arts and Science(Co-Ed) College, Mamallapuram, Chennai, Tamil Nadu, India. Dr.K.Kalaiselvi, Professor, Department of Data Analytics, Saveetha College of Liberal Arts and Sciences, SIMATS, Chennai, Tamil Nadu, India. Dr.A.Senthilkumar, Assistant Professor, Department of Computer Science with Data Analytics, Sri Ramakrishna College of Arts & Science, Coimbatore, Tamil Nadu, India.



Essentials Of Pharmatoxicology In Drug Research Volume 1


Essentials Of Pharmatoxicology In Drug Research Volume 1
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Author : Rakesh Kumar Tekade
language : en
Publisher: Elsevier
Release Date : 2023-03-23

Essentials Of Pharmatoxicology In Drug Research Volume 1 written by Rakesh Kumar Tekade and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-23 with Medical categories.


Toxicity and Toxicodynamics, Volume One in the Essentials of Pharmatoxicology in Drug Research series provides an overview on the essentials of toxicology, risk assessment and the mechanisms. Topics discussed include the types of cellular responses to chemical toxicants, mechanisms of drug toxicity, and their relevance to pharmaceutical product development. The book examines omics and computer-aided technologies for mechanistic and predictive toxicology and covers state-of-art testing in the evaluation of detrimental pathways, dose selection in toxicity studies, as well as the role of regulatory agencies in toxicity studies. In addition, there is also discussion on clinical interventions such as pharmacotherapy and managed care strategies for acute poisoning. This volume is a valuable resource to those learning more about the drug development process related to toxicology and those who want to get an update on newer concepts on the toxicology aspect of drug research. Examines toxicological risk assessment in drug research Discusses toxicity mechanisms Covers risk assessment and the use of omics and computational technologies in mechanistic and predictive toxicology Offers clinical interventions and managed care as a result of toxic injury and acute poisoning



Educational Data Science


Educational Data Science
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Author : Alejandro Peña-Ayala
language : en
Publisher: Springer Nature
Release Date : 2023

Educational Data Science written by Alejandro Peña-Ayala and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023 with Artificial intelligence categories.


This book describes theoretical elements, practical approaches, and specialized tools that systematically organize, characterize, and analyze big data gathered from educational affairs and settings. Moreover, the book shows several inference criteria to leverage and produce descriptive, explanatory, and predictive closures to study and understand education phenomena at in classroom and online environments. This is why diverse researchers and scholars contribute with valuable chapters to ground with well-sounded theoretical and methodological constructs in the novel field of Educational Data Science (EDS), which examines academic big data repositories, as well as to introduces systematic reviews, reveals valuable insights, and promotes its application to extend its practice. EDS as a transdisciplinary field relies on statistics, probability, machine learning, data mining, and analytics, in addition to biological, psychological, and neurological knowledge about learning science. With this in mind, the book is devoted to those that are in charge of educational management, educators, pedagogues, academics, computer technologists, researchers, and postgraduate students, who pursue to acquire a conceptual, formal, and practical landscape of how to deploy EDS to build proactive, real- time, and reactive applications that personalize education, enhance teaching, and improve learning!



Data Analytics Made Easy


Data Analytics Made Easy
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Author : Andrea De Mauro
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-08-30

Data Analytics Made Easy written by Andrea De Mauro and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-08-30 with Business & Economics categories.


Learn how to gain insights from your data as well as machine learning and become a presentation pro who can create interactive dashboards Key FeaturesEnhance your presentation skills by implementing engaging data storytelling and visualization techniquesLearn the basics of machine learning and easily apply machine learning models to your dataImprove productivity by automating your data processesBook Description Data Analytics Made Easy is an accessible beginner's guide for anyone working with data. The book interweaves four key elements: Data visualizations and storytelling – Tired of people not listening to you and ignoring your results? Don't worry; chapters 7 and 8 show you how to enhance your presentations and engage with your managers and co-workers. Learn to create focused content with a well-structured story behind it to captivate your audience. Automating your data workflows – Improve your productivity by automating your data analysis. This book introduces you to the open-source platform, KNIME Analytics Platform. You'll see how to use this no-code and free-to-use software to create a KNIME workflow of your data processes just by clicking and dragging components. Machine learning – Data Analytics Made Easy describes popular machine learning approaches in a simplified and visual way before implementing these machine learning models using KNIME. You'll not only be able to understand data scientists' machine learning models; you'll be able to challenge them and build your own. Creating interactive dashboards – Follow the book's simple methodology to create professional-looking dashboards using Microsoft Power BI, giving users the capability to slice and dice data and drill down into the results. What you will learnUnderstand the potential of data and its impact on your businessImport, clean, transform, combine data feeds, and automate your processesInfluence business decisions by learning to create engaging presentationsBuild real-world models to improve profitability, create customer segmentation, automate and improve data reporting, and moreCreate professional-looking and business-centric visuals and dashboardsOpen the lid on the black box of AI and learn about and implement supervised and unsupervised machine learning modelsWho this book is for This book is for beginners who work with data and those who need to know how to interpret their business/customer data. The book also covers the high-level concepts of data workflows, machine learning, data storytelling, and visualizations, which are useful for managers. No previous math, statistics, or computer science knowledge is required.