000			nam a22 7a 4500
999			_c29281 _d29281
008			190326b xxu||||| |||| 00| 0 eng d
020			_a9781681734552 _c(pbk)
082			_a025.04 _bLIS
100			_aLissandrini, Matteo
245			_aData exploration using example-based methods
260			_aS.l. : _bMorgan & Claypool Publisher, _c2019
300			_axvii, 146 p. : _bill. ; _c23.3 cm.
365			_aUSD _b64.95 _d00
504			_aIncludes bibliographical references.
520			_aData 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.
650			_aDatabase searching
650			_aDatabase management
650			_aProgramming by example
700			_aDavide Mottin
700			_aThemis Palpanas
700			_aYannis Velegrakis
942			_2ddc _cBK