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检索条件"任意字段=3rd International Conference on Soft Computing in Data Science, SCDS 2017"

共 694 条记录，以下是571-580 订阅

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Handling Imbalanced data in Churn Prediction using ADASYN and Backpropagation Algorithm

Handling Imbalanced Data in Churn Prediction using ADASYN an...

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international conference on science in Information Technology

作者： Annisa Aditsania Adiwijaya Aldo Lionel Saonard School of Computing Telkom University Bandung Indonesia

Customers are important assets for an industry, including telecommunication industry. Customer churn will result in lost revenue. For that reason, a classification model that can predict the customer churn is needed. One of the obstacles to develop the classification model is the great difference between number of churn and non-churn customers. The non-churn data dominates the entire customer data. This will make the churn data unfamiliar to the system. ADASYN (Adaptive Synthetic Sampling) is one of the oversampling methods that can be used to solve the class imbalanced problem. ADASYN is algorithm improvement from SMOTE (Synthetic Minority Over-sampling) algorithm [1]. Meanwhile, in this research the backpropagation algorithm is chosen as classification model. The result of the study with proposed scheme shows the testing accuracy 96,31% and testing Fl-Score0.4607.

关键词： Correlation Classification algorithms Prediction algorithms Backpropagation Feature extraction Information technology Industries

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data processing in semantic sensor web: A survey

Data processing in semantic sensor web: A survey

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international conference on Applied and Theoretical computing and Communication Technology (iCATccT)

作者： Lokesh B. Bhajantri R. Pundalik Department of Information Science and Engineering Basaveshwar Engineering College Bagalkot Karnataka India College of Engineering and Technology Bhubaneswar Orissa IN

Wireless Sensor Network (WSN) has set of wireless sensor nodes that are used to generate or sense the high volume of raw data from the environment, transmits the data to its respective sink node. The processing of raw data requires more amount of energy from sensor nodes to sink node or base station through single-hop or multi-hop communication over the nodes. In this context, sensor data need to be quality of data with semantic information in terms of semantic data integration and fusion and data processing, and so on. In order to problem of semantic data and managing raw data in WSN effectively, the Semantic Sensor Web (SSW) is taken into the wireless sensor networks. The SSW is promising technology for realizing the use of sensor data and semantic web that provide the semantic information to existing sensor networks by utilizing domain, spatial and temporal ontologies and other related semantic technology. This paper presents survey of data processing in SSW from various aspects. Besides, it presents the architecture of SSW and its advantages.

关键词： Handheld computers Communications technology conferences

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An ephemeral investigation on energy proficiency mechanisms in WSN

An ephemeral investigation on energy proficiency mechanisms ...

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international conference on Applied and Theoretical computing and Communication Technology (iCATccT)

作者： N Achyutha Prasad C D Guruprakash Sri Siddhartha Academy of Higher Education Tumkur Karnataka IN Department of Computer Science and Engineering Sri Siddhartha Institute of Technology Tumakuru India

Encompassing network lifespan and also sensor mote functionality is exceptionally sensitive for the fruitful usage of wireless sensor networks (WSNs) in some applications where supplanting or charging energy repository components (i.e. Batteries) is unfeasible or not cost efficacious. Decentralized routing algorithm, called game theoretic energy balance routing protocol, is recommended to encompass the network lifespan by poising energy depletion in a superior network region by means of geographical routing protocols. In today's world number of users using the data packets in terms of broadcasting, multicasting and unicasting applications. With the limited spectrum we need to deliver packets at a higher rate and also in an energy proficient fashion. The purpose of this paper is to describe the various approaches used to achieve the energy efficiency in WSN and other Networks.

关键词： Handheld computers Communications technology Hafnium compounds

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Preprocessing Matrix Factorization for Solving data Sparsity on Memory-Based Collaborative Filtering

Preprocessing Matrix Factorization for Solving Data Sparsity...

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international conference on science in Information Technology

作者： Mochamad Iqbal Ardimansyah Arief Fatchul Huda Z.K. Abdurahman Baizal School of Computing Telkom University Bandung Indonesia

Collaborative filtering (CF) is one of the techniques in recommender system which utilizes information of user preference in the form of ratings of items and produce recommendation based on the similarity of behaviors with other user's preference. The collaborative filtering approach divisible into two main categories: memory-based and model-based, both have their respective advantages and disadvantages. The weakness of memory-based CF is that accuracy becomes less optimal when using sparse dataset. We propose the use of matrix factorization as preprocessing to fill empty rating values to handle sparse rating data. The research involves memory-based CF, with and without preprocessing to analyze both prediction performances. Our results show that the proposed approach with preprocessing has better accuracy than without preprocessing.

关键词： Collaboration Sparse matrices Predictive models Information technology Recommender systems Mathematical model

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The VIVA OpenHBM finite element 50th percentile female occupant model: Whole body model development and kinematic validation

The VIVA OpenHBM finite element 50th percentile female occup...

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2017 international Research Council on the Biomechanics of Injury conference, IRCOBI 2017

作者： Östh, Jonas Mendoza-Vazquez, Manuel Linder, Astrid Svensson, Mats Y. Brolin, Karin Chalmers University of Technology Sweden Swedish National Rd. and Transport Research Institute Sweden

Recently, significant progress has been made in the development of Finite Element Human Body Models, and they have been introduced in the development of automotive safety systems. The average female has not been covered by previous modelling projects, although it has been shown that females are exposed to a higher risk of injury than males in comparable automotive accidents. This study aims to describe the development of a 50th percentile female Open Source Human Body Model, to validate its kinematics, and compare the effect of having a detailed or simplified neck model in the Model. The Human Body Model was developed from surface data of a 50th percentile female, using rigid bones, kinematic joints, and deformable soft tissue for the whole body model, together with an existing detailed neck model and a new simplified neck model. The kinematic response was compared with female and scaled male Post Mortem Human Subject data using objective rating in frontal, roll-over, and rear-impact simulations. The model correlation was found to be 0.91,0.67, and 0.63 in the principal direction of each load case. Using a simplified neck model only marginally influenced the correlation in whole body simulations, while in isolated-head neck simulations the head kinematics were affected. © 2017 international Research Council on the Biomechanics of Injury. All rights reserved.

关键词： Kinematics

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An efficient method of computing the k-dominant skyline efficiently by partition value

An efficient method of computing the k-dominant skyline effi...

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international conference on Information Management (ICIM)

作者： Guanling Lee Ying-Hao Lee Department of Computer Science and Information Engineering National Dong Hwa University Hualien Taiwan R.O.C

ISBN: (纸本)9781509063079

Skyline queries are useful in many applications such as multicriteria decision-making, data mining, and user-preference queries. However, the probability that a point dominates another one reduces significantly as the number of dimensions increases, which results in the number of skyline points becoming too numerous to offer any interesting insights. The concept of the k-dominant skyline was previously proposed to solve this problem. A point p is said to k-dominate another point q if there are k (≤ d) dimensions in which p is better than or equal to q and is better in at least one of these k dimensions. A point that is not k-dominated by any other points is in the k-dominant skyline. This paper addresses the problem of computing the k-dominant skyline. By analyzing the properties of the k-dominant skyline, four lemmas are derived to reduce the effort required to select candidates and prune false positives during the computation. A set of experiments showed that our method can efficiently compute the k-dominant skyline for independent, correlated and anticorrelated datasets.

关键词： data mining databases Computer science Decision making Algorithm design and analysis Random access memory Information management

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Collaboration-oriented information flow analysis and control for Mobile Cloud

Collaboration-oriented information flow analysis and control...

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IEEE international conference on Computational Intelligence & Communication Technology (CICT)

作者： Ziyi Su Yong Peng Fuyong Ge Changda Song Fangyuan Ma Frédérique Biennier School of Computer Science and Information Technology Northeast Normal University Changchun China Sunshine ensurance co. Ltd Beijing China Lab. LIRIS CNRS University of Lyon Avenue Albert Einstein Villeurbanne France

ISBN: (纸本)9781509062195

This paper presents a functional design of a `information flow analysis' service that provides information/data owner with a explicit and end-to-end provenance recording of information/data usage and redissemnation among entities in a collaborative context of Mobile Cloud. The core idea is to identify data exchanged among nodes in the business process. BPEL-defined business process is used as a study case. Experiments show the service to scale well with complex processes and to have trivial performance impact when deployed with an orchestration service.

关键词： Business Mobile communication Cloud computing Security Collaboration Context

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Owner-stipulated data security and privacy for data accessing in Mobile Cloud context

Owner-stipulated data security and privacy for data accessin...

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IEEE international conference on Computational Intelligence & Communication Technology (CICT)

作者： Ziyi Su Yong Pe Changda Song Fuyong Ge Frédérique Biennier Sch. of Comput. Sci. & Inf. Technol. Northeast Normal University Changchun Jilin CN Sunshine ensurance Co. Ltd. China School of Computer Science and Information Technology Sunshine ensurance co. Ltd Beijing China School of Computer Science and Information Technology Northeast Normal University Changchun Jilin CN Lab. LIRIS CNRS INSA-lyon University of Lyon Avenue Albert Einstein Villeurbanne France

ISBN: (纸本)9781509062195

A security principle in the collaborative Mobile Cloud contexts is that data recipients to gain owner's approval for usage and redissemination of digital object shared and merged in transactions/interactions. This paper presents a system for Mobile Cloud scenarios that enabling owner's to stipulate data security and privacy level in the data sharing interactions. During data/information redissemination among Mobile Cloud entities, their security attributes are collected, attested and evaluated upon data owner's security policies, to decide an entity's eligibility for accessing merged data. Implementation and performance experimentation is conducted.

关键词： Mobile communication Cloud computing Access control Knowledge based systems Collaboration data privacy

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Imprecise constrained covering solid travelling salesman problem with credibility 3rd

Imprecise constrained covering solid travelling salesman pro...

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3rd international conference on Mathematics and computing, ICMC 2017

作者： Mukherjee, Anupam Maity, Samir Panigrahi, Goutam Maiti, Manoranjan Department of Mathematics National Institute of Technology Durgapur DurgapurWest Bengal713209 India Department of Computer Science Vidyasagar University MidnaporeWest Bengal721102 India Department of Applied Mathematics Vidyasagar University MidnaporeWest Bengal721102 India

ISBN: (纸本)9789811046414

In this article, we model an "Imprecise Constrained Covering Solid Travelling Salesman Problem with Credibility" (ICCSTSPC), a generalization of Covering Salesman Problem (CSP), in fuzzy environment. A salesman begins from an initial node, visits a subset of nodes exactly once using any one of appropriate vehicles available at each step, so that unvisited nodes are within a predetermined distance from the visited nodes, and returns to the initial node within a restricted time. Here the travelling costs and travelling times between any two nodes and the covering distance all are considered as fuzzy. Thus the problem reduces to find the optimal tour for a set of nodes with the proper conveyances so that total travelling cost is minimum within a restricted time. The ICCSTSPC is reduced to a set of Imprecise Constrained Covering Solid Travelling Salesman Problems by solving Unicost Set Cover Problem (USCP) using Random Insertion-Deletion (RID). These reduced Constrained Solid Travelling Salesman Problems (CSTSPs) are solved by an Improved Genetic Algorithm (IGA), which consists of probabilistic selection, order crossover, proposed generation dependent inverse mutation. A random mutation for vehicles is proposed to get a better cost at each generation of IGA by choosing an alternative vehicle for each node. Hence the ICCSTSPC is solved by a random insertion-deletion (RID) for covering set and IGA, i.e., RID-IGA. To justify the performance of the RID-IGA, some test problems are solved. The model is illustrated with some randomly generated crisp and fuzzy data. © Springer Nature Singapore Pte Ltd. 2017.

关键词： Traveling salesman problem

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A security criteria regulation middleware using security policy for Web Services on multi-Cloud tenancies

A security criteria regulation middleware using security pol...

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IEEE international conference on Computational Intelligence & Communication Technology (CICT)

作者： Ziyi Su Changda Song Lin Dai Fuyong Ge Ruopeng Yang Frédérique Biennier School of Computer Science and Information Technology Northeast Normal University Changchun China INSA-lyon University of Lyon Avenue Albert Einstein Villeurbanne France

ISBN: (纸本)9781509062195

In the multi-cloud tenancy environments, Web Service offers an standard approach for discovering and using capabilities in an environment that transcends ownership domains. This brings into concern the ownership and security related to Web Service governance. Our approach for this issue involves an ESB-integrated middleware for security criteria regulation on Clouds. It uses an attribute-based security policy model for the exhibition of assets consumers' security profiles and deducing service accessing decision. Assets represent computing power/functionality and information/data provided by entities. Experiments show the middleware to bring minor governance burdens on the hardware aspect, as well as better performance with colosum scaling property, dealing well with cumbersome policy files, which is probably the situation of complex composite service scenarios.

关键词： Security Cloud computing Organizations Computer architecture

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