ANTIPOLE TREE INDEXING AND GRAPHGREPVF - Reforgiato Recupero, Diego
42,99 €
inkl. MwSt.
Versandkostenfrei*
Versandfertig in 6-10 Tagen
payback
21 °P sammeln
  • Broschiertes Buch

There has been increasing interest in building search/index structures to perform similarity search over high-dimensional data, e.g., image databases, document collections, time-series databases, and genome databases. A similarity search problem involves a collection of objects (e.g., documents, images) which are characterized by a collection of relevant features and represented as points in a high-dimensional attribute space. The first part of this book will present a new hierarchical clustering algorithm called Antipole Clustering. The algorithm partitions the set of data objects in clusters…mehr

Andere Kunden interessierten sich auch für
Produktbeschreibung
There has been increasing interest in building search/index structures to perform similarity search over high-dimensional data, e.g., image databases, document collections, time-series databases, and genome databases. A similarity search problem involves a collection of objects (e.g., documents, images) which are characterized by a collection of relevant features and represented as points in a high-dimensional attribute space. The first part of this book will present a new hierarchical clustering algorithm called Antipole Clustering. The algorithm partitions the set of data objects in clusters such that each one has diameter approximately less than a given value. The algorithm returns a tree structure called Antipole Tree in which the leaves are the final clusters. The second part of this book will present, GraphGrepVF, an application-independent method for querying a database of graphs in order to find all the occurrences of a given subgraph. Many applications in industry, science and engineering share this problem, and increasing the size of the database requires efficient structure searching algorithms.
Autorenporträt
Diego Reforgiato is a Researcher at the DIIT of the Univ. of Catania. The support for this fellowship has been given by PROVIDEO, a Marie Curie Grant that Dr. Reforgiato won in 2008. From 4/1/2005 to 5/1/2008 Dr. Reforgiato worked at the Univ. of Maryland with Prof. V.S. Subrahmanian. In 2006 he was the winner of the ComputerWorld horizon award.