M
Marco Brambilla
Researcher at Polytechnic University of Milan
Publications - 323
Citations - 6392
Marco Brambilla is an academic researcher from Polytechnic University of Milan. The author has contributed to research in topics: Web modeling & Web application. The author has an hindex of 34, co-authored 300 publications receiving 5908 citations. Previous affiliations of Marco Brambilla include Instituto Politécnico Nacional.
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Book
Model-Driven Software Engineering in Practice
TL;DR: This book is to provide an agile and flexible tool to introduce you to the MDSE world, thus allowing you to quickly understand its basic principles and techniques and to choose the right set of MDSE instruments for your needs so that you can start to benefit from MDSE right away.
Book
Designing Data-Intensive Web Applications
TL;DR: This chapter discusses models for Designing Web Applications: Data Model, Hypertext Model, Content Management Model, and Implementation of WebML Elements.
The Morgan Kaufmann Series in Data Management Systems (Selected Titles)
Terry Halpin,Tony Morgan,Joe Celko,Business Metadata,Bill Inmon,Lowell Fryman,Gottfried Vossen,Stephan Hagemann,David Loshin,Paul Harmon,Brian Jaffe,Charles Betz,Mamdouh Refaat,Stephano Ceri,Piero Fraternali,Aldo Bongio,Marco Brambilla,Sara Comai,Maristella Matera,Soumen Chakrabarti,Troubleshooting Techniques,Dennis Shasha,Philippe Bonnet,Jim Melton,Alan R. Simon,Usama M. Fayyad,Georges Grinstein,Andreas Wierse,Ahmed K. Elmagarmid,Amit Sheth,Michael Stonebraker,Paul Brown,Dorothy Moore,Maro Saracco,V. S. Subrahmanian,Clement Yu,Weiyi Meng,Carlo Zaniolo,Stefano Ceri,Christos Faloutsos,Richard T. Snodgrass,Roberto Zicari +41 more
TL;DR: Distributed Algorithms contains the most significant algorithms and impossibility results in the area, all in a simple automata-theoretic setting, and their complexity is analyzed according to precisely defined complexity measures.
Book ChapterDOI
An Introduction to Information Retrieval
Stefano Ceri,Alessandro Bozzon,Marco Brambilla,Emanuele Della Valle,Piero Fraternali,Silvia Quarteroni +5 more
TL;DR: This chapter introduces information retrieval as a scientific discipline, providing a formal characterization centered on the notion of relevance and touches on some of its challenges and classic applications and then dedicate a section to its main evaluation criteria: precision and recall.
Proceedings ArticleDOI
Choosing the right crowd: expert finding in social networks
TL;DR: This paper focuses on selecting experts within the population of social networks, according to the information about the social activities of their users, and defines models and methods for evaluating people's expertise by considering their profiles and by tracing their activities in social networks.