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151
GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
"... People travel in the real world and leave their location history in a form of trajectories. These trajectories do not only connect locations in the physical world but also bridge the gap between people and locations. This paper introduces a social networking service, called GeoLife, which aims to un ..."
Abstract
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Cited by 68 (15 self)
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to understand trajectories, locations and users, and mine the correlation between users and locations in terms of usergenerated GPS trajectories. GeoLife offers three key applications scenarios: 1) sharing life experiences based on GPS trajectories; 2) generic travel recommendations, e.g., the top interesting
Association Rule Mining on Distributed Data
"... Abstract- Applications requiring large data processing, have two major problems, one a huge storage and its management and second processing time, as the amount of data increases. Distributed databases solve the first problem to a great extent but second problem increases. Since, current era is of n ..."
Abstract
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Cited by 2 (0 self)
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Association Rule mining algorithm for geographically distributed data is used in parallel and distributed environment so that it reduces communication costs. The response time is calculated in this environment using XML data.
Materials for an exploratory theory of the network society.
- The British Journal of Sociology
, 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract
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Cited by 122 (0 self)
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that the automaton will follow? Social actors, naturally. Thus, there is a social struggle to assign goals to the network. But once the network is programmed, it imposes its logic to all its members (actors). Actors will have to play their strategies within the rules of the network. To assign different goals
Integrated Intelligent Research (IIR) 141 Web Usage Mining Using Association Rule Mining on Clustered Data for Pattern Discovery
"... Abstract — Web Usage Mining is application of data mining techniques to discover interesting usage patterns from Web data, in order to understand and better serve the needs of Web-based applications. Analyzing data through web usage mining can help effective Web site management, creating adaptive We ..."
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based on help of user’s session and behaviour. Web usage mining includes three phases namely pre-processing, pattern discovery and pattern analysis. In this paper combined effort of clustering and association rule mining is applied for pattern discovery. This approach helps in finding effective usage
User-Location Graph GeoLife: A Collaborative Social Networking Service among User, Location and Trajectory
"... People travel in the real world and leave their location history in a form of trajectories. These trajectories do not only connect locations in the physical world but also bridge the gap between people and locations. This paper introduces a social networking service, called GeoLife, which aims to un ..."
Abstract
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to understand trajectories, locations and users, and mine the correlation between users and locations in terms of user-generated GPS trajectories. GeoLife offers three key applications scenarios: 1) sharing life experiences based on GPS trajectories; 2) generic travel recommendations, e.g., the top interesting
Metarule-guided association rule mining for program understanding Software
- IEE Proceedings - Volume 152, Issue 6, 9 Dec. 2005 Page(s): 281
, 2005
"... Abstract: Software systems are expected to change over their lifetime in order to remain useful. Understanding a software system that has undergone changes is often difficult owing to the unavailability of up-to-date documentation. Under these circumstances, source code is the only reliable means o ..."
Abstract
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Cited by 4 (0 self)
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techniques to different aspects of software engineering, including program understanding, has been more frequent than the use of inductive techniques An overview of association rule mining Association rule mining is a data mining technique that finds interesting association or correlation relationships
Itemset Mining
"... In many applications one is interested in how often two or more objects of interest co-occur. For example, consider a popular web site, which logs all incoming traffic to its site in the form of weblogs. Weblogs typically record the source and destination pages requested by some user, as well as the ..."
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so-called “market baskets”). Once we mine the frequent sets, they allow us to extract association rules among the item sets, where we make some statement about how likely are two sets of items to co-occur or to conditionally occur. For example, in the weblog scenario frequent sets allow us to extract
Abhishek Kajal et al. / Indian Journal of Computer Science and Engineering (IJCSE) Multilevel Association Rules in Data Mining
"... Data is the basic building block of any organization. Be it an individual or an organization of any type, it is surrounded by huge flow of quantitative or qualitative data. Data are the patterns which are used to develop or enhance information or knowledge. All the organizations big or small has bul ..."
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the relations among these patterns. Association Rule mining is the scientific technique to dig out interesting and frequent patterns from the transactional, spatial, temporal or other databases and to set associations, relations or correlations among those patterns (also known as item sets) in order to discover
Developing Association Rules In Facilities Management Databases
"... Data mining is a recent development in the field of database exploration. A powerful and well investigated topic is the discovery of association rules. This paper examines the use of association rules within the domain of facilities management. Within such a domain the application of association rul ..."
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Data mining is a recent development in the field of database exploration. A powerful and well investigated topic is the discovery of association rules. This paper examines the use of association rules within the domain of facilities management. Within such a domain the application of association
Structural correlation pattern mining . . .
, 2010
"... In this paper we define the Structural Correlation Pattern (SCP) mining problem, which consists of determining correlations among vertex attributes and dense components in an undirected graph. Vertex attributes play an important role in several real-life graphs and SCPs help to understand how they r ..."
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they relate to the associated graph topology. SCPs may describe, for example, interesting relationships between personal characteristics and the community structure in social networks. We also propose an efficient algorithm, called SCORP, to extract SCPs from large graphs, and compare it against a naive
Results 1 - 10
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