The rise of the digital and mobile era has made the world become more connected, networked, and traceable, leading to the availability of large scale data. Due to the continuous evolution of technology, nowadays data is being created, shared, and stored at a dramatic pace. In particular, data has grown from static, complete, and centralized to dynamic, incomplete, and distributed; furthermore, data has rapidly increased its scope and size, leading to new challenges undertaken by the field of Big Data Analysis. Consequently, there is the need for novel computational techniques and tools able to assist humans in extracting useful information (knowledge) from the rapidly growing volumes of data. Knowledge Discovery is an interdisciplinary area focusing upon methodologies for identifying valid, novel, potentially useful and meaningful patterns from such data. A major aspect of Knowledge Discovery is to extract valuable knowledge and information from data. Because of its potential power for solving complex problems, Knowledge Discovery is widespread in numerous fields, including science, engineering, healthcare, business, and medicine. Recently, the rapid growth of social networks and online services entailed that Knowledge Discovery approaches focused on the World Wide Web.
KDWeb 2016 is aimed at providing a venue to researchers, scientists, students, and practitioners involved in the fields of Knowledge Discovery on Data Mining, Information Retrieval, and Semantic Web, for presenting and discussing novel and emerging ideas. KDWeb will contribute to discuss and compare suitable novel solutions based on intelligent techniques and applied in real-world applications.
Information about topics, submissions, and dates are reported in the Call for Papers.
UPDATE: List of accepted full papers
Maarten de Rijke (University of Amsterdam, The Netherlands) - Talk: Naturally Intelligent Search
Philippe Cudré-Mauroux (University of Fribourg, Switzerland) - Talk: Entity-Centric Data Management
Emanuela Merell (University of Camerino, Italy) and Matteo Rucco (CNR, Italy) - Topological Data Analysis with jHoles and Persistent Entropy
Marco Alberto Javarone (University of Cagliari, Italy) - Social Behaviors through Networks: Models and Applications
Giuliano Armano (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)
Alessandro Bozzon (Software and Computer Technology Department - Delft University of Technology, Netherlands)
Alessandro Giuliani (Department of Electrical and Electronic Engineering - University of Cagliari, Italy)
Matteo Cristani (Department of Computer Science - University of Verona, Italy)
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