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Digital. Zustand: New. Revised ed. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities.Key FeaturesCreate links between your dataset and others in an instantEffectively transform data with regular expressions and the General Refine Expression LanguageSpot issues in your dataset and take effective action with just a few clicksBook DescriptionData today is like gold - but how can you manage your most valuable assets? Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value.Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data.This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction.Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data.What you will learnImport data in various formatsExplore datasets in a matter of secondsApply basic and advanced cell transformationsDeal with cells that contain multiple valuesCreate instantaneous links between datasetsFilter and partition your data easily with regular expressionsUse named-entity extraction on full-text fields to automatically identify topicsPerform advanced data operations with the General Refine Expression LanguageWho this book is forThis book is targeted at anyone who works on or handles a large amount of data. No prior knowledge is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.…

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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the proceedings of the satellite events held at the 18th Extended Semantic Web Conference, ESWC 2021, in June 2021. The conference was held online, due to the COVID-19 pandemic.During ESWC 2021, the following six workshops took place: 1) the Second International Workshop on Deep Learning meets Ontologies and Natural Language Processing (DeepOntoNLP 2021)2) the Second International Workshop on Semantic Digital Twins (SeDiT 2021)3) the Second International Workshop on Knowledge Graph Construction(KGC 2021)5) the 6th International Workshop on eXplainable SENTIment Mining and EmotioN deTection (X-SENTIMENT 2021)6) the 4th International Workshop on Geospatial Linked Data (GeoLD 2021).…

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book constitutes the thoroughly refereed post-conference proceedings of the Satellite Events of the 16th Extended Semantic Web Conference, ESWC 2019, held in Portoroz, Slovenia, in June 2019.The volume contains 38 poster and demonstration papers, 2 workshop papers,5 PhD symposium papers, and 3 industry track papers, selected out of a total of 68 submissions. They deal with all areas of semantic web research, semantic technologies on the Web and Linked Data.…

Taschenbuch. Zustand: Neu. The Semantic Web: ESWC 2019 Satellite Events | ESWC 2019 Satellite Events, Portoro¿, Slovenia, June 2-6, 2019, Revised Selected Papers | Pascal Hitzler (u. a.) | Taschenbuch | Lecture Notes in Computer Science | xvii | Englisch | 2019 | Springer | EAN 9783030323264 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.…

Digital. Zustand: New. Revised ed. With this book on OpenRefine, managing and cleaning your large datasets suddenly got a lot easier! With a cookbook approach and free datasheets included, you'll quickly and painlessly improve your data managing capabilities.Key FeaturesCreate links between your dataset and others in an instantEffectively transform data with regular expressions and the General Refine Expression LanguageSpot issues in your dataset and take effective action with just a few clicksBook DescriptionData today is like gold - but how can you manage your most valuable assets? Managing large datasets used to be a task for specialists, but the game has changed - data analysis is an open playing field. Messy data is now in your hands! With OpenRefine the task is a little easier, as it provides you with the necessary tools for cleaning and presenting even the most complex data. Once it's clean, that's when you can start finding value.Using OpenRefine takes you on a practical and actionable through this popular data transformation tool. Packed with cookbook style recipes that will help you properly get to grips with data, this book is an accessible tutorial for anyone that wants to maximize the value of their data.This book will teach you all the necessary skills to handle any large dataset and to turn it into high-quality data for the Web. After you learn how to analyze data and spot issues, we'll see how we can solve them to obtain a clean dataset. Messy and inconsistent data is recovered through advanced techniques such as automated clustering. We'll then show extract links from keyword and full-text fields using reconciliation and named-entity extraction.Using OpenRefine is more than a manual: it's a guide stuffed with tips and tricks to get the best out of your data.What you will learnImport data in various formatsExplore datasets in a matter of secondsApply basic and advanced cell transformationsDeal with cells that contain multiple valuesCreate instantaneous links between datasetsFilter and partition your data easily with regular expressionsUse named-entity extraction on full-text fields to automatically identify topicsPerform advanced data operations with the General Refine Expression LanguageWho this book is forThis book is targeted at anyone who works on or handles a large amount of data. No prior knowledge is required, as we start from the very beginning and gradually reveal more advanced features. You don't even need your own dataset, as we provide example data to try out the book's recipes.…

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