Browse Proceedings

Many real-world phenomena such as social networks and biological networks can be modeled as graphs. Discovering dense sub-graphs from these graphs may be able to find interesting facts about the phenomena.

Quasi-cliques are a type of dense graphs, which ...

In order to confirm their theoretical assumptions, physicists employ Monte-Carlo generators to produce millions

of simulated particle collision events and compare them with the results of the detector experiments. The

traditional, static analysis ...

Within text categorization and other data mining tasks, the use of suitable methods for term weighting can

bring a substantial boost in effectiveness. Several term weighting methods have been presented throughout

literature, based on assumptions ...

Spatial OLAP systems aim to interactively analyze huge volumes of geo-referenced data. They allow

decision-makers to on-line explore and visualize warehoused spatial using pivot tables, graphical displays

and interactive maps. On the other hand, it has ...

It is well-known that developing a unifying theory is one of the most important issues in Data Mining research.

In the last two decades, a great deal has been devoted to the algorithmic aspects of the Frequent Itemset (FI)

Mining problem. We are ...

Nowadays, structured documents are marked-up using XML. XML is the W3C standard that allows to give

a meaning about the stored content of a document by the definition of its logical structure. A logical

structure can be exploited to have a focused ...

The majority of enterprises are in the process of recognizing that business data analytics have the potential

to transform their daily operations and make them extremely effective at addressing business challenges,

identifying new market trends and ...

Today, image retrieval system has become a vital necessity for computing users. Different search systems

are increasingly invading the computing software markets, such as QBIC, Photobook and BlobWord. The

only negative point these systems have in common ...

Model tree is a useful and convenient method for predictive analytics in data streams, combining the interpretability

of decision trees with the efficiency of multiple linear regressions. However, missing values within

the data streams is a crucial ...

Given a set of criteria, an object o is defined to dominate another object o' if o is no worse than o' in each

criterion and has better outcomes in at least a specific criterion. A skyline query returns each object that is

not dominated by any other ...

Today, a multitude of highly-connected applications and information systems hold, consume and produce huge amounts of heterogeneous data. The overall amount of data is even expected to dramatically increase in the future. In order to conduct, e.g., data ...

Software product lines (SPLs) allow creating a multitude of individual but similar products based on one

common software model. Software components can be developed independently and new products can be

generated easily. Inevitably, software evolves, a ...

Nowadays, more and more information is flowing in and is provided on the Web. Large datasets are made

available covering many fields and sectors. Open Data (OD) plays an important role in this field. Thanks to

the volumes and the variety of the released ...

Geographic web portals and geospatial databases are emerging on the web recently, offering information about countries and places in the world. Digital content is increasing at a staggering rate due to community collaboration and the integration of ...

The paper presents shortly a history and development of database management tools in last decade. The

movement towards a higher database performance and database scalability is discussed in the context to

requirements of practice. These include Big Data ...

Businesses are increasingly using their enterprise data for strategic decision-making activities. In fact, information, derived from data, has become one of the most important tools for businesses to gain competitive edge. Data quality assessment has ...

Smart Home is indeed a broad concept which includes the techniques and systems applied to living spaces.

While its main goal is to reduce the consumption of energy, it provides many benefits including living in

comfort, security and increasing ...

Persistent identifiers for research data citation have become commonplace yet current practices of minting

them need evaluation to see how the data cited can be actually discovered, contextualized and processed in

scalable eInfrastructures that serve ...

Dataset interlinking holds the potential for data quality improvement and data enrichment as demonstrated

by the Linked Open Data project. This paper explores the library domain characterized by carefully curated

datasets that require high quality ...

This paper presents an approach to clearly identify the opportunities for increased monetary and non-monetary

benefits from improved Data Quality, within an Enterprise Architecture context. The aim is to measure, in a

quantitative manner, how key ...

As proposed by European Commission through the institution of Europeâ s Digital Agenda, the Italian Digital Agenda has promoted the publication and the use of Open Data (OD) owned by the Public Administration (PA), providing with the appropriate ...

The term â open dataâ refers to information that has been made technically and legally available for reuse. In our research, we focus on the particular case of open research data. We conducted a literature review in order to determine what are the ...

Usually, data warehousing populating processes are data-oriented workflows composed by dozens of

granular tasks that are responsible for the integration of data coming from different data sources. Specific

subset of these tasks can be grouped on a ...

Extensible Markup Language (XML) is one of the most popular web languages in the life science used for

for Semantic Data Analysis in various fields of clinical research. One of these fields is the processing of

medical full texts. To extract meaningful ...

The TORCIA platform has been developed as part of a project funded by the Lombardy Region. The main

goal of the project is the development of a tool that leverages social media in emergency management

processes. With a continuous and real-time ...

The Linked Data paradigm is the most common practice for publishing, sharing and managing information in the Data Web. Linkzoo is an IT infrastructure for collaborative publishing, annotating and sharing of Data Web resources, and their publication as ...

Digital libraries work in complex and heterogeneous scenarios. The quantity and diversity of resources, together with the plurality of agents involved in this context, and the continuous evolution of user-generated content, require knowledge to be ...

The aim of this work is demonstration of usefulness and efficiency of statistical methods of text processing for automatic construction of concept maps of the pre-determined domain. Statistical methods considered in this paper are based on the analysis ...

As the size of semantic data available as Linked Open Data (LOD) increases, the demand for methods for automated exploration of data sets grows as well. A data consumer needs to search for data sets meeting his interest and look into them using suitable ...

In all organizations, access assignments are essential in order to ensure data privacy, permission levels and the correct assignment of tasks. Traditionally, such assignments are based on total enumeration, with the consequence that constant effort has ...