Skin cancer is a commonly occurring disease, which affects people of all age groups. Automated detection of skin cancer is needed to decrease the death rate by identifying the diseases at the initial stage. The visual inspection during the medical ...

Aiming at the problems of traditional methods that cannot adapt to the interference of noise or abnormal data, the data mining time is long, and the data mining accuracy is low, a network abnormal data stream mining method based on improved ...

In machine learning, continuously retraining a model guarantees accurate predictions based on the latest data as training input. But to retrieve the latest data from a database, time-consuming extraction is necessary as database systems have ...

We propose a novel supervised classification algorithm for spatially dependent data, built as an extension of kernel discriminant analysis, that we named Spatial Kernel Discriminant Analysis (SKDA). Our algorithm is based on a kernel estimate of ...

Despite their adoption in many applications, density-based clustering algorithms perform inefficiently when dealing with data with varied density, imbricated and/or adjacent clusters. Clusters of lower density may be classified as outliers, and adjacent ...

Graph is an extremely versatile data structure in terms of its expressiveness and flexibility to model a range of real life phenomenon. Various networks like social networks, sensor networks and computer networks are represented and stored in the form ...

It has become widely recognized that user feedback can play a fundamental role in facilitating information integration tasks, e.g., the construction of integration schema and the specification of schema mappings. While promising, existing proposals make ...

A phenomenon appears in a sensor network when a group of sensors continuously produces similar readings (i.e., data streams) over a period of time. This involves the processing of hundreds and maybe thousands of data streams in real-time. This paper ...

Similarity search in P2P systems has attracted a lot of attention recently and several important applications, like distributed image search, can profit from the proposed distributed algorithms. In this paper, we address the challenging problem of ...

In statistical databases and data warehousing applications it is commonly the case that aggregate views are maintained as an underlying mechanism for summarising information. Where the databases or applications are distributed, or arise from independent ...

Universal Business Language (UBL) is an OASIS initiative to develop common business document schemas to provide document interoperability in the eBusiness domain. Since the data requirements change according to a context, UBL schemas need to be ...

In this paper, we propose a novel matching framework for Web service composition. The framework combines the concepts of Web service, context, and ontology. We adopt a broad definition of context for Web services, encompassing all information needed for ...

We propose a new approach to the estimation of query result sizes for join queries. The technique, which we have called “systematic sampling—SYSSMP”, is a novel variant of the sampling-based approach. A key novelty of the systematic sampling is that it ...

The ever growing needs of large multimedia systems cannot be met by magnetic disks due to their high cost and low storage density. Consequently, cheaper and denser tertiary storage systems are being integrated into the storage hierarchies of these ...

Visualization enables us to find structures, features, patterns, and relationships in a dataset by presenting the data in various graphical forms with possible interactions. A visualization can provide a qualitative overview of large and complex ...

To meet users‘ growing needs for accessing pre-existing heterogeneous databases, a multidatabase system (MDBS) integrating multiple databases has attracted many researchers recently. A key feature of an MDBS is local autonomy. For a query retrieving data ...

Checkpointing a database is a vital technique to reduce the recovery time in the presence of a failure. For distributed databases, checkpointing also provides an efficient way to perform global reconstruction. In this paper, we survey and classify previous ...