{"title":"Francesco Bonchi","description":null,"products":[{"product_id":"machine-learning-and-knowledge-discovery-in-databases-book-francesco-bonchi-9783642159381","title":"Machine Learning and Knowledge Discovery in Databases","description":"The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2010, was held in Barcelona, September 20-24, 2010, consolidating the long junction between the European Conference on Machine Learning (of which the ?rst instance as European wo- shop dates back to 1986) and Principles and Practice of Knowledge Discovery in Data Bases (of which the ?rst instance dates back to 1997). Since the two conferences were ?rst collocated in 2001, both machine learning and data m- ing communities have realized how each discipline bene?ts from the advances, and participates to de?ning the challenges, of the sister discipline. Accordingly, a single ECML PKDD Steering Committee gathering senior members of both communities was appointed in 2008. In 2010, as in previous years, ECML PKDD lasted from Monday to F- day. It involved six plenary invited talks, by Christos Faloutsos, Jiawei Han, Hod Lipson, Leslie Pack Kaelbling, Tomaso Poggio, and Jur .. gen Schmidhuber, respectively. Monday and Friday were devoted to workshops and tutorials, or- nized and selected by Colin de la Higuera and Gemma Garriga.Continuing from ECML PKDD 2009, an industrial session managed by Taneli Mielikainen and Hugo Zaragoza welcomed distinguished speakers from the ML and DM ind- try: Rakesh Agrawal, Mayank Bawa, Ignasi Belda, Michael Berthold, Jos'eLuis Fl' orez,ThoreGraepel,andAlejandroJaimes.\nTheconferencealsofeaturedad- coverychallenge,organizedbyAndr' asBenczur ' ,CarlosCastillo,Zolt' anGyon .. gyi, and Julien Masan' es.","brand":"WoB","offers":[{"title":"- \/ - \/ -","offer_id":51064320229649,"sku":"","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":51064322785553,"sku":"NIN9783642159381","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/3642159389.jpg?v=1785793875"},{"product_id":"privacy-security-and-trust-in-kdd-book-francesco-bonchi-9783642017179","title":"Privacy, Security, and Trust in KDD","description":"This book constitutes the thoroughly refereed post-workshop proceedings of the Second International Workshop on Privacy, Security, and Trust in KDD, PinKDD 2008, held in Las Vegas, NV, USA, in March 2008 in conjunction with the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, KDD 2008. The 5 revised full papers presented together with 1 invited keynote lecture and 2 invited panel sessions were carefully reviewed and selected from numerous submissions. The papers are extended versions of the workshop presentations and incorporate reviewers' comments and discussions at the workshop and represent the diversity of data mining research issues in privacy, security, and trust as well as current work on privacy issues in geographic data mining.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52409766773009,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52409767264529,"sku":"NLS9783642017179","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783642017179.jpg?v=1758775852"},{"product_id":"correlation-clustering-book-francesco-bonchi-9783031791987","title":"Correlation Clustering","description":"Given a set of objects and a pairwise similarity measure between them, the goal of correlation clustering is to partition the objects in a set of clusters to maximize the similarity of the objects within the same cluster and minimize the similarity of the objects in different clusters. In most of the variants of correlation clustering, the number of clusters is not a given parameter; instead, the optimal number of clusters is automatically determined. Correlation clustering is perhaps the most natural formulation of clustering: as it just needs a definition of similarity, its broad generality makes it applicable to a wide range of problems in different contexts, and, particularly, makes it naturally suitable to clustering structured objects for which feature vectors can be difficult to obtain. Despite its simplicity, generality, and wide applicability, correlation clustering has so far received much more attention from an algorithmic-theory perspective than from the data-mining community. The goal of this lecture is to show how correlation clustering can be a powerful addition to the toolkit of a data-mining researcher and practitioner, and to encourage further research in the area.","brand":"WoB","offers":[{"title":"- \/ - \/ INTERNAL","offer_id":52428457738513,"sku":null,"price":0.0,"currency_code":"GBP","in_stock":true},{"title":"GB \/ NEW \/ INGRAM","offer_id":52428458459409,"sku":"NLS9783031791987","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783031791987.jpg?v=1786792048"},{"product_id":"knowledge-discovery-in-inductive-databases-book-francesco-bonchi-9783540332923","title":"Knowledge Discovery in Inductive Databases","description":"The4thInternationalWorkshoponKnowledgeDiscoveryinInductiveDatabases (KDID 2005) was held in Porto, Portugal, on October 3, 2005 in conjunction with the 16th European Conference on Machine Learning and the 9th European Conference on Principles and Practice of Knowledge Discovery in Databases. Ever since the start of the ?eld of data mining, it has been realized that the integration of the database technology into knowledge discovery processes was a crucial issue. This vision has been formalized into the inductive database perspective introduced by T. Imielinski and H. Mannila (CACM 1996, 39(11)). The main idea is to consider knowledge discovery as an extended querying p- cess for which relevant query languages are to be speci?ed. Therefore, inductive databases might contain not only the usual data but also inductive gener- izations (e. g. , patterns, models) holding within the data. Despite many recent developments, there is still a pressing need to understand the central issues in inductive databases. Constraint-based mining has been identi?ed as a core technology for inductive querying, and promising results have been obtained for rather simple types of patterns (e. g. , itemsets, sequential patterns). However, constraint-based mining of models remains a quite open issue. Also, coupling schemes between the available database technology and inductive querying p- posals are not yet well understood. Finally, the de?nition of a general purpose inductive query language is still an on-going quest.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52476019343633,"sku":"NLS9783540332923","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":52761648496913,"sku":"NIN9783540332923","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540332923.jpg?v=1759843408"},{"product_id":"privacy-security-and-trust-in-kdd-book-francesco-bonchi-9783540784777","title":"Privacy, Security, and Trust in KDD","description":"without sacri?cing the privacy and security of the individuals to whom the data correspond.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52594663031057,"sku":"NLS9783540784777","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9783540784777.jpg?v=1785976936"},{"product_id":"privacy-aware-knowledge-discovery-book-francesco-bonchi-9781439803653","title":"Privacy-Aware Knowledge Discovery","description":"Covers privacy and anonymity for data mining applications. This book presents novel application domains, such as data mining of biomedical and healthcare data. It addresses spatial, temporal, and spatio-temporal data as well graphs, links, and social networks. It details privacy-aware data publishing and mining of data streams.","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52683469455633,"sku":"NLS9781439803653","price":0.0,"currency_code":"GBP","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781439803653.jpg?v=1762320731"},{"product_id":"privacy-aware-knowledge-discovery-book-francesco-bonchi-9781138374102","title":"Privacy-Aware Knowledge Discovery","description":"\u003cp\u003eCovering research at the frontier of this field, \u003cstrong\u003ePrivacy-Aware Knowledge Discovery: Novel Applications and New Techniques \u003c\/strong\u003epresents state-of-the-art privacy-preserving data mining techniques for application domains, such as medicine and social networks, that face the increasing heterogeneity and complexity of new forms of data. Renowned authorities from prominent organizations not only cover well-established results—they also explore complex domains where privacy issues are generally clear and well defined, but the solutions are still preliminary and in continuous development. \u003c\/p\u003e\u003cp\u003eDivided into seven parts, the book provides in-depth coverage of the most novel reference scenarios for privacy-preserving techniques. The first part gives general techniques that can be applied to various applications discussed in the rest of the book. The second section focuses on the sanitization of network traces and privacy in data stream mining. After the third part on privacy in spatio-temporal data mining and mobility data analysis, the book examines time series analysis in the fourth section, explaining how a perturbation method and a segment-based method can tackle privacy issues of time series data. The fifth section on biomedical data addresses genomic data as well as the problem of privacy-aware information sharing of health data. In the sixth section on web applications, the book deals with query log mining and web recommender systems. The final part on social networks analyzes privacy issues related to the management of social network data under different perspectives.\u003c\/p\u003e\u003cp\u003eWhile several new results have recently occurred in the privacy, database, and data mining research communities, a uniform presentation of up-to-date techniques and applications is lacking. Filling this void, \u003cstrong\u003ePrivacy-Aware Knowledge Discovery\u003c\/strong\u003e presents novel algorithms, patterns, and models, along with a significant collection of open problems for future investigation.\u003c\/p\u003e","brand":"WoB","offers":[{"title":"GB \/ NEW \/ INGRAM","offer_id":52683496096017,"sku":"NLS9781138374102","price":0.0,"currency_code":"GBP","in_stock":true},{"title":"US \/ NEW \/ INGRAM","offer_id":53368614519057,"sku":"NIN9781138374102","price":0.0,"currency_code":"GBP","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0784\/4072\/6801\/files\/9781138374102.jpg?v=1762320798"}],"url":"https:\/\/www.worldofbooks.com\/en-gb\/collections\/author-books-by-francesco-bonchi.oembed","provider":"World of Books ","version":"1.0","type":"link"}