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KNIME Beginner's Luck: A Guide to KNIME Data Mining Software for Beginners

Rosario Silipo

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مشخصات کتاب

نویسنده
Rosario Silipo
ناشر
KNIME Press
سال انتشار
۲۰۱۸
فرمت
PDF
زبان
انگلیسی
حجم فایل
۱۴٫۴ مگابایت
شابک
9783033028500، 9783952392607، 3033028500، 395239260X

دربارهٔ کتاب

This book is the sequel to the introductory book KNIME Beginner's Luck. Building upon the reader's first experience with KNIME, this book presents some more advanced features, like looping, selecting workflow paths, flow variables, reading and writing data from and to a database, accessing REST services and Google Sheets, and more. All new concepts, nodes, and features are demonstrated through examples and knowledge is reinforced with exercises. All example workflows, exercise solutions, and data sets are available in the book. The goal of this book is to elevate your data analysis from a basic exploratory level to a more professionally organized and complex structure. This book shows you how - access databases (chapter 2) - access data from the web, via REST services, Google Sheets, or web crawling (chapters 3) - how to deal with Date&Time objects as well as how to use time series dedicated nodes (chapter 4) - how control your data flow in the workflow by means of parameters (flow variables), loops, and switches (chapters 5, 6, and 7) use some advanced concepts in BIRT, one of the reporting tools integrated with the KNIME Analytics Platform (chapter 8) This book is born from a series of lectures on the KNIME Analytics Platform. It is intended for beginners who want to move their first steps in the data science space using the KNIME open source platform. The goal is to empower new KNIME users with the necessary knowledge to start analyzing, manipulating, and reporting even complex data. No previous knowledge of KNIME is required. The book - how to move inside (and install) the KNIME platform (Chapter 1); - how to build a workflow (Chapter 2); - how to manipulate data (Chapters 2,3,4,and 5); - how to perform a visual data exploration (Chapter 3); - how to build models from data (Chapter 4); - how to design and run reports (Chapters 5 and 6 ).

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