Distributed data mining algorithms executing on a shared network of workstations often suffer from unpre-dictable performance problems due to limited network re-sources that are being shared. We show that data min-ing algorithms, which have an approximate nature, can adapt to network-resource constraints. We argue that exist-ing network monitoring and quality of service mechanisms are insufficient to support the needs of such applications. We then discuss the mechanisms (systems support) needed to support such network-aware applications. Finally, we describe the current status (work-in-progress) of the sys-tem under development and discuss some general issues involved in developing resource-aware data mining algo-rithms
Abstract- Advances in computing and communication over wired and wireless networks have resulted in ...
The automatic construction of classifiers (programs able to correctly classify data collected from t...
Peer-to-peer (P2P) systems such as Gnutella, Napster, e-Mule, Kazaa, and Freenet are increasingly be...
Data mining is a set of methods used to mine hidden information from data. It mainly includes freque...
In this paper we present G-Net, a distributed algorithm able to infer classifiers from pre-collected...
The computationally-intensive nature of many data mining algorithms and the size of the datasets inv...
Data mining in distributed systems has been facilitated by using high-support association rules. Les...
Distributed data mining deals with the problem of data analysis in environments with distributed dat...
In this paper we describe research problems in dis-tributed mining and monitoring of intelligence da...
UnrestrictedIn this dissertation, we focus on resource management in distributed systems. The essenc...
Data mining aims to extract from huge amount of data stochastic theories, called knowledge models, t...
Accessing and managing large amounts of data is a great challenge in collaborative computing environ...
Distributed systems provide powerful platforms for implementing cooperative computation where large ...
Internet Service Providers gather vast amounts of data in the form of trouble tickets created from c...
The way of collecting sensor data will face a revolution when the newly developing technology of dis...
Abstract- Advances in computing and communication over wired and wireless networks have resulted in ...
The automatic construction of classifiers (programs able to correctly classify data collected from t...
Peer-to-peer (P2P) systems such as Gnutella, Napster, e-Mule, Kazaa, and Freenet are increasingly be...
Data mining is a set of methods used to mine hidden information from data. It mainly includes freque...
In this paper we present G-Net, a distributed algorithm able to infer classifiers from pre-collected...
The computationally-intensive nature of many data mining algorithms and the size of the datasets inv...
Data mining in distributed systems has been facilitated by using high-support association rules. Les...
Distributed data mining deals with the problem of data analysis in environments with distributed dat...
In this paper we describe research problems in dis-tributed mining and monitoring of intelligence da...
UnrestrictedIn this dissertation, we focus on resource management in distributed systems. The essenc...
Data mining aims to extract from huge amount of data stochastic theories, called knowledge models, t...
Accessing and managing large amounts of data is a great challenge in collaborative computing environ...
Distributed systems provide powerful platforms for implementing cooperative computation where large ...
Internet Service Providers gather vast amounts of data in the form of trouble tickets created from c...
The way of collecting sensor data will face a revolution when the newly developing technology of dis...
Abstract- Advances in computing and communication over wired and wireless networks have resulted in ...
The automatic construction of classifiers (programs able to correctly classify data collected from t...
Peer-to-peer (P2P) systems such as Gnutella, Napster, e-Mule, Kazaa, and Freenet are increasingly be...