Transactional-retail data, probably the data with the largest scientific and financial interest, still remains the most examined data category in the field of data mining. The prominent model for handling such data ha...
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Transactional-retail data, probably the data with the largest scientific and financial interest, still remains the most examined data category in the field of data mining. The prominent model for handling such data has long been a rather naïve one that treated items as flat Boolean variables, ordered in various ways in order to facilitate efficient counting and to reduce complexity. In this work we propose a novel view of transactional data for data mining, which is based on a spatial, a temporal or a spatiotemporal component inherent in such data. Finally we propose a method for handling this data efficiently.
In agent-mediated marketplaces, autonomous agents deploy automated bidding mechanisms in order to increase revenue for humans. The ability of agents to estimate the next prices to be revealed in an auction, by applyin...
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In this paper we survey the most well known and widely used indexing structures for handling spatial information using both main memory and secondary media. We focus on the presentation of spatial object indexing stru...
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In this paper we survey the most well known and widely used indexing structures for handling spatial information using both main memory and secondary media. We focus on the presentation of spatial object indexing structures and then we cite a number of applications that they can be used. We have paid attention to the variety of queries that each of these structures can answer and their price in computational time and memory space occupation.
Wireless network communities face a number of difficulties due to lack of integration between network and community resources management. In this work, we present a novel solution and we outline the architecture, desi...
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Wireless network communities face a number of difficulties due to lack of integration between network and community resources management. In this work, we present a novel solution and we outline the architecture, design and implementation of an intelligent Web based management system for metropolitan area wireless network communities. The system supports multi-user and personalization features combined with wireless node configuration and monitoring, in a portal-like environment. Additionally to the software discussed, a test-bed implementation is presented to confirm platform and software robustness and cost-effectiveness of the proposed solutions. The overall environment is already operational for two years, while user and administrators' feedback has been incorporated into the system in a regular manner. Evaluation of the work has been performed in the online wireless network environment by computer and communication engineers and it strongly indicates that the proposed mechanism is both effective and efficient. Finally, future steps and enhancements are discussed.
Flow control is the dominant technique currently used in communication networks for preventing excess traffic from flooding the network, and for handling congestion. In rate-based flow control, transmission rates of s...
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Flow control is the dominant technique currently used in communication networks for preventing excess traffic from flooding the network, and for handling congestion. In rate-based flow control, transmission rates of sessions are adjusted in an end-to-end manner through a sequence of operations . In this work, we present a theory of max-min fair , rate-based flow control sensitive to priorities of different sessions, as a significant extension of the classical theory of max-min fair, rate-based flow control to networks supporting applications with diverse requirements on network resources. Each individual session bears a priority function , which maps the session's priority to a transmission rate; the priority is a working abstraction of the session's priority to bandwidth access. Priority functions enable the specification of requirements on bandwidth access by distributed applications, and the formal handling of such requirements. We present priority max-min fairness , as a novel and well motivated fairness condition which requires that assigned rates correspond, through the priority functions, to priorities comprising a max-min vector. We also introduce priority bottleneck algorithms gradually update a session's rate until when its priority is restricted on a priority bottleneck edge of the network. We establish a collection of interesting combinatorial properties of priority bottleneck algorithms. Most significantly, we show that they can only converge to priority max-min fairness. As an application of our general theory, we embed priority bottleneck algorithms in the more realistic optimistic framework for rate-based flow control. The optimistic framework allows for both decreases and increases of session rates. We exploit these additionally provided semantics to prove further combinatorial properties for the termination of priority bottleneck algorithms in the optimistic framework. We use these properties to conclude the first optimistic algorithms for efficien
Enterprise integration is significant for the enforcement of novel business models in an enterprise/industry. The great heterogeneity of systems/applications in the enterprise environment requires the introduction of ...
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Enterprise integration is significant for the enforcement of novel business models in an enterprise/industry. The great heterogeneity of systems/applications in the enterprise environment requires the introduction of interoperability aspects in order to resolve integration problems in a flexible and dynamic way. Our approach introduces an advanced enterprise semantic model representing both enterprise structure and available services, through the use of ontologies. The model is associated by a specific architecture that uses the above model in combination with state-of-the-art technologies such as Web services and workflows
This paper describes a proposed system for the recognition and labeling of graphical objects within architectural and engineering documents that integrates statistical language models (SLMs) with traditional classifie...
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This paper describes a proposed system for the recognition and labeling of graphical objects within architectural and engineering documents that integrates statistical language models (SLMs) with traditional classifiers. SLMs are techniques used with success in natural language processing (NLP) for use in such tasks as speech recognition and information retrieval. This research proposes the adaptation of SLMs for use with graphical notation i.e. statistical graphical language model (SGLMs). Reasoning of the similarities between natural language and technical graphics is presented and the proposed use of SGLM for graphical object recognition is described.
In this paper, we present an integrated system architecture for metacomputing on top of distributed scientific resources via semantic-driven information management. Our approach is to consider both data and programs a...
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ISBN:
(纸本)9780780390744
In this paper, we present an integrated system architecture for metacomputing on top of distributed scientific resources via semantic-driven information management. Our approach is to consider both data and programs as objects of an application-specific ontology, describing them via corresponding metadata schemata that can be exploited to search for and to generate information in an efficient and automated way. Metacomputations are expressed in the form of workflows thereby enabling a flexible combination of data and program objects that can reside on different servers or grid resources. Workflow descriptions are associated with ontology concepts and can be activated as a side-effect of searching for information to produce new data on demand. We also report on the current status of an implementation that provides support for several aspects of this architecture.
In this paper we study the Station Placement problem on directed graphs, a problem that has applications to efficient multicasting in circuit-switched networks. We first argue that the problem on general directed grap...
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Designing and maintaining Web applications is one of the major challenges that software industry has to face. Several modeling techniques have been proposed to support this process. In this work we present a methodolo...
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ISBN:
(纸本)0889864802
Designing and maintaining Web applications is one of the major challenges that software industry has to face. Several modeling techniques have been proposed to support this process. In this work we present a methodology for identifying design patterns within an application modelled using WebML, a modelling language for designing data-intensive Web applications. We extend the set of design patterns supported by WebML and exemplify the application of the methodology using an e-learning scenario.
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