In this paper, we propose a clustering method by SOM and information criteria. In this method, initial cluster-candidates are derived by SOM, and then these candidates are merged appropriately based on information criterion such as BIC or AIC (Akaike Information Criterion). Through the clustering experiments for the artificial datasets and UCI Machine Learning Repository’s datasets, we confirm ...

The "Web," an attempt to organize the electronic world, has become the focus of a wide range of research activities from agents to information retrieval to virtual reality systems, and is a central focus of work presented at this symposium. Our work considers a more humble task: that of organizing our own electronic lives. We introduce a new metaphor, Lifestreams, for dynamically organizing a u...

In the world of Internet, users always expects the services, provided by the service providers must be easy to access. When online users need to retrieve information while doing online sales, then the ease of use depends on the frequency of the items that are available in the product recommendations. To achieve this, the crawlers are used to retrieve and download the required information from t...

objective: in addition to issues such as environment, transportation, safely and urban planning, one of the most important factors  having increasingly influence on urban organizing factors is urban management. methods: there are so many issues in cities that for its solving, urban management factor is necessary. complexity and  extensiveness of urban issue and its  development and growth, led ...

We examine the strategies of organizing terminological information in WordNet, and describe an analogous strategy of adding terminological senses of lexical units to plWordNet, a large Polish wordnet. Wordnet builders must cope with differences in lexical and terminological definitions of a term, and with the boundaries between terminological and lexical information. A somewhat adjusted strateg...

This paper evaluates a self-organizing routing protocol for Ad Hoc network, called the Neuron Routing Algorithm (NEURAL). NEURAL has been designed taking into account the learning and self-organizing abilities of the brain. More precisely, it was inspired by the synapses process between neurons, when a signal is propagated. Basically, the most significant characteristic of NEURAL is the uniform...

Information from the external world goes through various transformations. The learning of the original neighbourhood relations of the world using only the transformed information is examined in detail. An approximate representation consists of a nite number of discretizing points and connections between neighbouring points. The goal here is to develop such an approximate representation in a sel...

In this paper we propose a self-organizing method for the graph colouring problem. The proposed self-organizing method for the graph colouring extends the chemical casting model and makes it possible to find the number of colours needed to colour the graph. The self-organizing approach is needed to solve scheduling tasks in the applications of ad hoc networks. Nodes in ad hoc networks are usual...

Prior research has noted the salience of informational engagements that culminate in an organizing vision to the diffusion of technology and the value firms garner from the technology. In contrast to sociological theories that view meaning as inherently pluralistic, information technology research has espoused a single community-level organizing vision. Drawing upon schema theory, we posit that...

Today, information networks play an important role in supply chain management. Therefore, in this article, clustering-based routing protocols, which are one of the most important ways to reduce energy consumption in wireless sensor networks, are used to optimize the supply chain informational cloud network. Accordingly, first, a clustering protocol is presented using self-organizing map neu...