Data Mining for Intrusion Detection: from Outliers to True Intrusions (2010)
Goverdhan Singh, Florent Masseglia, Cline Fiot, Alice Marascu, Pascal Poncelet
Abstract. Data mining for intrusion detection can be divided into several sub-topics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection...
SAX: A Privacy Preserving General Pupose Method applied to Detection of Intrusions (2010)
François Trousset, Pascal Poncelet, Florent Masseglia
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Chapter 1 Intrusion Detections in Collaborative Organizations by Preserving Privacy (2010)
Nischal Verma, François Trousset, Pascal Poncelet, Florent Masseglia, Nischal Verma, Fran Ccois Trousset, ...
Abstract To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
Intrusion Detections in Collaborative Organizations by Preserving Privacy (2009)
Nischal, Verma, Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
SAX: A Privacy Preserving General Purpose Method applied to Detection of Intrusions (2009)
Trousset, Francois, Poncelet, Pascal, Masseglia, Florent
To overcome the problem of attacks on networks, new Intrusion Detection System (IDS) approaches have been proposed in recent years. They consist in identifying signatures of known attacks to compare...
Data Mining for Intrusion Detection: from Outliers to True Intrusions (2009)
Singh, Goverdhan, Masseglia, Florent, Fiot, Céline, Marascu, Alice, Poncelet, Pascal
Data mining for intrusion detection can be divided into several subtopics, among which unsupervised clustering has controversial properties. Unsupervised clustering for intrusion detection aims to i)...
KDD/MDM 2006: The 7 th KDD Multimedia Data Mining Workshop Report (2008)
Zhongfei Zhang, Florent Masseglia, Ramesh Jain, Alberto Del Bimbo
This is a report of the 7 th ACM KDD/MDM Workshop on Multimedia Data Mining held in Philadelphia, PA, USA, on 20 August 2006. This report outlines the motivations to hold the workshop, the response...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marescu, Alicia
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers’ behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marescu, Alicia
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Time Aware Mining of Itemsets (2008)
Saleh, Bashar, Masseglia, Florent
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs. However, those...
Time Aware Mining of Itemsets (2008)
Saleh, Bashar, Masseglia, Florent
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs. However, those...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Time Aware Mining of Itemsets (2008)
Saleh, Bashar, Masseglia, Florent
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs. However, those...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Time Aware Mining of Itemsets (2008)
Saleh, Bashar, Masseglia, Florent
Frequent behavioural pattern mining is a very important topic of knowledge discovery, intended to extract correlations between items recorded in large databases or Web acces logs. However, those...
Web Usage Mining: Extracting Unexpected Periods from Web Logs (2008)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne, Marascu, Alice
Existing Web usage mining techniques are currently based on an arbitrary division of the data (e.g. “one log per month”) or guided by presumed results (e.g. “what is the customers' behaviour...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Florent Masseglia, Pascal Poncelet, Maguelonne Teisseire
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Peer-to-Peer Usage Analysis: a Distributed Mining Approach (2006)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the huge number of information sources available on the Internet, Peer-to-Peer (P2P) systems offer a novel kind of system architecture providing the large-scale community with applications for...
Sequential pattern mining: A survey on issues and approaches (2005)
Maguelonne Teisseire, Pascal Poncelet, Parc Scientifique, Georges Besse, Florent Masseglia, Florent Masseglia, ...
Calin Garboni, Florent Masseglia, Brigitte Trousse
Abstract. This article presents an original supervised classification technique for XML documents which is based on structure only. Each XML document is viewed as an ordered labeled tree, represented...
Calin Garboni, Florent Masseglia, Brigitte Trousse
Abstract. This article presents an original supervised classification technique for XML documents which is based on structure only. Each XML document is viewed as an ordered labeled tree, represented...
Fatma Bouali, Latifur Khan, Florent Masseglia
International Workshop International XXX Workshop on Multimedia
Pre-processing time constraints for efficiently mining generalized sequential patterns (2004)
Florent Masseglia, Inria Sophia Antipolis, Pascal Poncelet, Maguelonne Teisseire
In this paper we consider the problem of discovering sequential patterns by handling time constraints. While sequential patterns could be seen as temporal relationships between facts embedded in the...
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
An efficient algorithm for web usage mining (2000)
ABSTRACT. With the growing popularity of the World Wide Web (Web), large volumes of data are gathered automatically by Web servers and collected in access log files. Analysis of server access data...
Web Usage Mining: How to Efficiently Manage New transactions and New Customers (2000)
Masseglia, Florent, Poncelet, Pascal, Teisseire, Maguelonne
With the growing popularity of the World Wide Web (Web), large volumes of data such as user address or URL requested are gathered automatically by Web servers and collected in access log files....
An efficient algorithm for web usage mining (1999)
Florent Masseglia, Pascal Poncelet, Rosine Cicchetti
*** * IUT Aix-en-Provence ABSTRACT. With the growing popularity of the World Wide Web (Web), large volumes of data are gathered automatically by Web servers and collected in access log files....