Data Exploration Using Example-Based Methods

Language: English

Published by Springer, Springer Nov 2018, 2018

3031007387 / 9783031007385

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This item is printed on demand - Print on Demand Titel. Neuware -Data usually comes in a plethora of formats and dimensions, rendering the exploration and information extraction processes challenging. Thus, being able to perform exploratory analyses in the data with the intent of having an immediate glimpse on some of the data properties is becoming crucial. Exploratory analyses should be simple enough to avoid complicate declarative languages (such as SQL) and mechanisms, and at the same time retain 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 the 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 able to (easily) express. They can be useful in cases where a user is looking for information in an unfamiliar dataset, when the task is particularly challenging like finding duplicate items, or simply when they are 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 that different data types require different techniques, and present algorithms that are specifically designed for relational, textual, and graph data. The book presents also the challenges and the new frontiers of machine learning in online settings which recently attracted the attention of the database community. The lecture concludes with a vision for further research and applications in this area.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 164 pp. Englisch.…

Seller Inventory # 9783031007385

Title
Data Exploration Using Example-Based Methods
Author
Matteo Lissandrini
Publisher
Springer, Springer Nov 2018
Publication year
2018
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
3031007387
ISBN 13
9783031007385
Item weight
320 grams
Dimensions
235x191x10 mm

buchversandmimpf2000

Emtmannsberg, BAYE, Germany

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