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Results 1 - 10
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378
From Data Mining to Knowledge Discovery in Databases.
- 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 database ..."
Abstract
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Cited by 538 (0 self)
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brief summary of recent KDD real-world applications is provided. Definitions of KDD and data mining are provided, and the general multistep KDD process is outlined. This multistep process has the application of data-mining algorithms as one particular step in the process. The data-mining step
Approximate data collection in sensor networks using probabilistic models
- IN ICDE
, 2006
"... Wireless sensor networks are proving to be useful in a variety of settings. A core challenge in these networks is to minimize energy consumption. Prior database research has proposed to achieve this by pushing data-reducing operators like aggregation and selection down into the network. This approac ..."
Abstract
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Cited by 148 (7 self)
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that Ken is well suited to anomaly- and event-detection applications. A key challenge in this work is to intelligently exploit spatial correlations across sensor nodes without imposing undue sensor-to-sensor communication burdens to maintain the models. Using traces from two real-world sensor network
Swarm Intelligence Algorithms for Data Clustering
- IN SOFT COMPUTING FOR KNOWLEDGE DISCOVERY AND DATA MINING BOOK, PART IV
"... Clustering aims at representing large datasets by a fewer number of prototypes or clusters. It brings simplicity in modeling data and thus plays a central role in the process of knowledge discovery and data mining. Data mining tasks, in these days, require fast and accurate partitioning of huge da ..."
Abstract
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Cited by 26 (1 self)
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Clustering aims at representing large datasets by a fewer number of prototypes or clusters. It brings simplicity in modeling data and thus plays a central role in the process of knowledge discovery and data mining. Data mining tasks, in these days, require fast and accurate partitioning of huge
Intelligence tiles: Putting situated multi-agents models in real world
- in International Conference on Agents and Artificial Intelligence, in Proceedings ICAART’09, AAAI, ACM
, 2009
"... Abstract: In this paper we propose to pave indoor floors with “communicating ” tiles in order to extend perception and communication of mobile agents and more generally to implement environment-based multi-agent models. Each tile supports a real-time process which ensures communication with its neig ..."
Abstract
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Cited by 7 (4 self)
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Abstract: In this paper we propose to pave indoor floors with “communicating ” tiles in order to extend perception and communication of mobile agents and more generally to implement environment-based multi-agent models. Each tile supports a real-time process which ensures communication with its
Computational Intelligence for Intelligent Control of Machinery and Manufacturing Processes
"... ABSTRACT: Computational intelligence for intelligent control of machinery is maturing with advances in technology becoming both feasible and practical in application including manufacturing. Cologne University of Applied Science (CUAS) in Cologne, Germany has an extensive education and research prog ..."
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ABSTRACT: Computational intelligence for intelligent control of machinery is maturing with advances in technology becoming both feasible and practical in application including manufacturing. Cologne University of Applied Science (CUAS) in Cologne, Germany has an extensive education and research
Real -World Applications of Neural Network
"... Abstract: Neural Network technology performs "intelligent" tasks similar to those performed by the human brain. Today, many researchers are investigating Neural Networks, the network holds great potential as the front -end of expert system that require massive amount of inputs from sensor ..."
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sensor as well as real -time response. Neural Networks has been successfully applied to broad spectrum of data -intensive applications, such as; Process modeling and control, Machine diagnosis, Medical diagnosis, Voice Recognition, Financial forecasting, Fraud detection. In this paper presentation, real
Advances in Games Technology: Software, Models, and Intelligence Advances in Games Technology: Software, Models, and Intelligence
"... Abstract Games technology has undergone tremendous development. In this article, the authors report the rapid advancement that has been observed in the way games software is being developed, as well as in the development of games content using game engines. One area that has gained special attentio ..."
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engine, game software, gardening game, genetic algorithms, hybrid soft computing, memetic algorithms, neural network optimization, programmable tournament, racing game, small world models, terrain modeling This article is organized as follows. First, we present some simple and effective topics
Guaranteeing Communication Quality in Real World WSN Deployments
"... April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by: ..."
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April 29, 2011Für UnsShe had never before seen a rabbit with either a waistcoat-pocket, or a watch to take out of it, and burning with curiosity, she ran across the field after it Lewis CarrollThe following document, written under the supervision of Dr. reviewed by:
MODELLING OF METALLURGICAL PROCESSES USING CHAOS THEORY AND HYBRID COMPUTATIONAL INTELLIGENCE
"... Abstract: The main objective of the present work is to develop a framework for modelling and controlling of a real world multi-input and multi-output (MIMO) continuously drifting metallurgical process, which is shown to be a complex system. A small change in the properties of the charge composition ..."
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to evolve a fuzzy logic controller for the dynamical process using combination of genetic algorithms and the neural networks based forward model to predict the system’s behaviour or conditions in advance and to further suggest modifications to be made to achieve the desired results. Most of the real-world
Adaptable Planner Primitives for Real-World Robotic Applications
"... With increased processor speed and improved robotic and AI technology, researchers are beginning to design programs that can behave intelligently and interact in the real world. A large increase in processing power has come from parallel machines, but taking advantage of this power is challenging. I ..."
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With increased processor speed and improved robotic and AI technology, researchers are beginning to design programs that can behave intelligently and interact in the real world. A large increase in processing power has come from parallel machines, but taking advantage of this power is challenging
Results 1 - 10
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378
