The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Supply chain management aims at delivering goods in the shortest time at the lowest possible price while ensuring the best possible quality and is now vital to the success of the online retail business. Executing effective warehouse site selection has been one of the key challenges in the development of a successful supply chain system. While some effective strategies for warehouse site selection...
We consider the problem of efficiently learning mixtures of a large number of spherical Gaussians, when the components of the mixture are well separated. In the most basic form of this problem, we are given samples from a uniform mixture of k standard spherical Gaussians with means mu_1,...,mu_k in R^d, and the goal is to estimate the means up to accuracy δ using poly(k,d, 1/δ)...
Several problems are rised in order to enhance the effectiveness of communication in online discussion. The similarity and repetition of comments in terms of questions in the sentences or text meanings as well as triggers the emerging of miscommunication amongst participants in a forum discussion are investigated. Moreover, some comments seems are ignored or not been touched by other participants...
In this study, we propose an ensemble learning architecture called "Cognitive Learner", for classification of cognitive states from functional magnetic resonance imaging (fMRI). Proposed architecture consists of a two-layer hierarchy. In the first layer, called voxel layer, we model the connectivity among the voxel time series to represent the detailed information about the experiment. In...
The aim of clustering is to group objects which have common features within the group but have dissimilarities with other groups. Clustering algorithms involve finding a common structure without using any label, similarly like other unsupervised methods. Recent studies show that the decision of the ensemble clusters gives more accurate results than any single clustering solution. Besides that, the...
Energy efficiency in data collection and dissemination is a very important factor in wireless sensor networks. Therefore, minimizing energy consumption and maximizing network lifetime are the key factors for the design of wireless sensor network protocols. One of the energy conservation techniques is to select proper cluster head in a cluster. In this paper, a protocol has been proposed to select...
In this paper, we discuss proportional data clustering. It emerges In many applications such as document clustering and Image classification using bag of visual words approach. When deploying mixture models for clustering, there Is always a problem of initialization, and It Is common to initialize using K-means algorithm. In proposed work, we present K-means clustering approach using different distance...
Recently, due to the popularity of Web 2.0, considerable attention has been paid to the opinion leader discovery in social network. By identifying the opinion leaders, companies or governments can manipulate the selling or guiding public opinion, respectively. Additionally, detecting the influential comments is able to understand the source and trend of public opinion formation. However, mining opinion...
In recent times the incorporation of Wireless Sensor Network (WSN) with Internet of Things (IoT) has become more conscientious for the researchers. The collection of enormous amount of homogenous sensor nodes forms the Wireless Sensor Network. These sensor nodes have restricted battery power and memory and so the limited amount of energy is considered as the major issue. To overcome this issue several...
To select fair and balanced cluster head for cross layer protocol in wireless sensor network, a novel scheme is proposed in this paper. Because LEACH-C and its most of the variants select cluster head by considering energy and distance as a crucial parameter, it can reduce energy consumption of nodes but fail to create balanced cluster. According to the requirement of fair CH selection, we consider...
This paper emphasis on different hierarchical routing protocols in wireless sensor network. The Clustering approached is used in LEACH protocol for better communication with energy saving. The Sectoring Scheme is used in MARS approach for dividing the sensor network into different sectors. It improves reliability of an application or network. The working of both the approaches is explained in algorithmic...
The Levy Walk (or Levy flight) is a concept fromBiomathematics to describe the hunting–behaviour of manypredatory species. It is a very efficient way to find prey in avery short time frame. We now want to use this concept ina clustering–context to – if you so will – "hunt" for clusters. We describe how we convert this concept into an efficient wayto find cluster centres by linking the data...
Extreme learning machine (ELM) is based on single layer feed forward neural networks (SLFNs) and has become a rapidly developing learning technology today. Recently developed Multilayer form of ELM called ML-ELM which is based on the architecture of deep learning, become more popular compared to other traditional classifiers because of its important qualities such as multiple non-linear transformation...
Most of the clustering algorithms are sensitive to the input parameters and produce different clustering results for different input parameters for same datasets. A number of methods and indices have been proposed for validating results of a clustering process. The most commonly used approaches for cluster validation are based on internal indices. In this paper, we propose a new cluster validity index...
In this paper we develop a new efficient heuristic method for facility layout problems. This heuristic method contains two phases. In the first phase, a clustering method based on the SOFM1 is used for clustering of data in similar groups and in the second phase, an exact solution approach is applied for designing of a layout in each cluster. As an alternative solution, the ALDEP2 algorithm is used...
Extracting knowledge from data is a sophisticated procedure that needs to be addressed by a comprehensive method. To get the accurate information from each repository some learning methods have been introduced, and just some of them are able to provide the most accurate results. Fuzzy, probability, possibilistic, and bounded fuzzy possibilistic are some of the most common partitioning methods that...
In conventional algorithms a data point can be assigned to only a single cluster. However, in reality there are several types of data that a data point belongs to multiple categories and causes ground-truth clusters overlap. In this circumstance, conventional clustering cannot work effectively. To handle this problem, several algorithms are proposed and referred as “overlapping clustering”. One of...
Texture is considered as a big issue in image clustering and influence directly on the processing results. So, the idea here is to propose a new approach for image segmentation based on texture-isolation to reduce their effects and to identify easily the different clusters in an image. In this aim, we propose to use first a pre-processing method based on multiscale approach to separate a textured...
Wireless Sensor Networks are used in collection of fields which comprises of disaster management, ecological observing, healthcare, battle arena, biotic, home, and other viable applications. With enormous evolution in the dome of entrenched sensor technology, there are tranquil of number of sensor nodes that are capable of intuiting, stimulating, and transmitting the unperturbed data, has been made...
The watershed rehabilitation success rate have not been up, is the result of policies in watershed rehabilitation strategies that are less precise. From the above problems, we need a study that can provide a reference or any other alternative in determining priority watersheds to be rehabilitated, one through data mining. This paper uses a case study of Watershed data which are grouped using K-modes...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.