Results 1 - 10 of 289,591

Bridging SQL and NoSQL

by John Roijackers, Dr. G. H. L. Fletcher, Dr. A. Serebrenik , 2012
"... A recent trend towards the use of non-relational NoSQL databases raises the question where to store application data when part of it is perfectly relational. Dividing data over separate SQL and NoSQL databases implies manual work to manage multiple data sources. We bridge this gap between SQL and No ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
A recent trend towards the use of non-relational NoSQL databases raises the question where to store application data when part of it is perfectly relational. Dividing data over separate SQL and NoSQL databases implies manual work to manage multiple data sources. We bridge this gap between SQL

Learning probabilistic relational models

by Nir Friedman, Lise Getoor, Daphne Koller, Avi Pfeffer - In IJCAI , 1999
"... A large portion of real-world data is stored in commercial relational database systems. In contrast, most statistical learning methods work only with "flat " data representations. Thus, to apply these methods, we are forced to convert our data into a flat form, thereby losing much ..."
Abstract - Cited by 619 (31 self) - Add to MetaCart
of the relational structure present in our database. This paper builds on the recent work on probabilistic relational models (PRMs), and describes how to learn them from databases. PRMs allow the properties of an object to depend probabilistically both on other properties of that object and on properties of related

NoSQL Databases

by Silvan Weber
"... Conventional SQL databases use SQL (structured query language) as their primary interface to manage databases and are based on a relational database model. The term “NoSQL data-bases ” is an emerging general expression for databases with the aim to not (or almost not) use the functionalities of SQL ..."
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Conventional SQL databases use SQL (structured query language) as their primary interface to manage databases and are based on a relational database model. The term “NoSQL data-bases ” is an emerging general expression for databases with the aim to not (or almost not) use the functionalities of SQL

Security-aware elasticity for NoSQL databases

by Athanasios Naskos, Anastasios Gounaris, Haralambos Mouratidis, Panagiotis Katsaros
"... Abstract. We focus on horizontally scaling NoSQL databases in a cloud envi-ronment, in order to meet performance requirements while respecting security constraints. The performance requirements refer to strict latency limits on the query response time. The security requirements are derived from the ..."
Abstract - Cited by 1 (1 self) - Add to MetaCart
Abstract. We focus on horizontally scaling NoSQL databases in a cloud envi-ronment, in order to meet performance requirements while respecting security constraints. The performance requirements refer to strict latency limits on the query response time. The security requirements are derived from

Probabilistic Visual Learning for Object Representation

by Baback Moghaddam, Alex Pentland , 1996
"... We present an unsupervised technique for visual learning which is based on density estimation in high-dimensional spaces using an eigenspace decomposition. Two types of density estimates are derived for modeling the training data: a multivariate Gaussian (for unimodal distributions) and a Mixture-of ..."
Abstract - Cited by 705 (15 self) - Add to MetaCart
-of-Gaussians model (for multimodal distributions). These probability densities are then used to formulate a maximum-likelihood estimation framework for visual search and target detection for automatic object recognition and coding. Our learning technique is applied to the probabilistic visual modeling, detection

Federated database systems for managing distributed, heterogeneous, and autonomous databases

by Amit P. Sheth, James A. Larson - ACM Computing Surveys , 1990
"... A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures c ..."
Abstract - Cited by 1209 (34 self) - Add to MetaCart
A federated database system (FDBS) is a collection of cooperating database systems that are autonomous and possibly heterogeneous. In this paper, we define a reference architecture for distributed database management systems from system and schema viewpoints and show how various FDBS architectures

Scalable SQL and NoSQL data stores

by Rick Cattell - SIGMOD Record
"... In this paper, we examine a number of SQL and so-called “NoSQL ” data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads, in ..."
Abstract - Cited by 126 (0 self) - Add to MetaCart
In this paper, we examine a number of SQL and so-called “NoSQL ” data stores designed to scale simple OLTP-style application loads over many servers. Originally motivated by Web 2.0 applications, these systems are designed to scale to thousands or millions of users doing updates as well as reads

Parallel database systems: the future of high performance database systems

by David J. Dewitt, Jim Gray - Communications of the ACM , 1992
"... Abstract: Parallel database machine architectures have evolved from the use of exotic hardware to a software parallel dataflow architecture based on conventional shared-nothing hardware. These new designs provide impressive speedup and scaleup when processing relational database queries. This paper ..."
Abstract - Cited by 638 (13 self) - Add to MetaCart
Abstract: Parallel database machine architectures have evolved from the use of exotic hardware to a software parallel dataflow architecture based on conventional shared-nothing hardware. These new designs provide impressive speedup and scaleup when processing relational database queries. This paper

From data mining to knowledge discovery in databases

by Usama Fayyad, Gregory Piatetsky-shapiro, Padhraic Smyth - AI Magazine , 1996
"... ■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery in databases ..."
Abstract - Cited by 510 (0 self) - Add to MetaCart
■ Data mining and knowledge discovery in databases have been attracting a significant amount of research, industry, and media attention of late. What is all the excitement about? This article provides an overview of this emerging field, clarifying how data mining and knowledge discovery

A Comparative Analysis of Methodologies for Database Schema Integration

by C. Batini, M. Lenzerini, S. B. Navathe - ACM COMPUTING SURVEYS , 1986
"... One of the fundamental principles of the database approach is that a database allows a nonredundant, unified representation of all data managed in an organization. This is achieved only when methodologies are available to support integration across organizational and application boundaries. Metho ..."
Abstract - Cited by 642 (10 self) - Add to MetaCart
One of the fundamental principles of the database approach is that a database allows a nonredundant, unified representation of all data managed in an organization. This is achieved only when methodologies are available to support integration across organizational and application boundaries
Results 1 - 10 of 289,591