Filters








7,580 Hits in 4.5 sec

Research on C5.0 Algorithm Improvement and the Test in Lightning Disaster Statistics

Shuonan Hou, Rongtao Hou, Xinming Shi, Jun Wang, Chengshang Yuan
2014 International Journal of Control and Automation  
After analysis the importance of continuous attributes in the C5.0 algorithm processing, and consider the shortcomings of discretization method of C5 algorithm, this paper proposes a new method based on  ...  The method uses rough, information entropy and Discernible matrix that can be more reasonable and more accurately to continuously attribute discretization, and making created decision tree have better  ...  And was supported by the teaching innovation project13JY001 of Nanjing University of information science & technology yet.  ... 
doi:10.14257/ijca.2014.7.1.15 fatcat:sgy3k2kajrfs7l5b67z6jmopim

Rough fuzzy model based feature discretization in intelligent data preprocess

Qiong Chen, Mengxing Huang
2021 Journal of Cloud Computing: Advances, Systems and Applications  
Finally, we compare the proposed method with the discretization algorithm based on rough set, the discretization algorithm based on information entropy, and the discretization algorithm based on chi-square  ...  It improves the efficiency of edge-cloud computing by transforming continuous features into discrete ones, so as to meet the requirements of high-quality cloud services.  ...  Acknowledgments The authors would like to thank the support of the laboratory, university and government.  ... 
doi:10.1186/s13677-020-00216-4 fatcat:4mpvn6avq5ck7k6rkv4zwu6wca

An Optimization Route Selection Method of Urban Oversize Cargo Transportation

Da Huang, Mei Han
2021 Applied Sciences  
This model, based on an entropy weight method, cloud model, and TOPSIS method, combines the superiority of the cloud model for reflecting the randomness and discreteness of subjective evaluation with the  ...  Through selecting and classifying several the main road influencing factors of urban oversize cargo transportation, based on the data of four urban roads, the entropy weight method is used to initially  ...  Conflicts of Interest: The authors declare no conflict of interest. Appl. Sci. 2021, 11, 2213  ... 
doi:10.3390/app11052213 doaj:337498bdc337491f8e64a000428d8c79 fatcat:y3sitdppdrah5irm4agwljp4ta

Research on Association Rules Reasoning and Application of Geosciences Data Based on Ameliorated Trapezoidal Cloud Transformation [chapter]

Xu Jing
2016 IFIP Advances in Information and Communication Technology  
This paper proposes an association rules reasoning model based on ameliorated trapezoidal cloud transformation. It is aimed primarily at complexity and randomness geosciences data bears.  ...  A set of attributes for simulating faults extraction algorithm is designed, which breaks through limitations of traditional visual interpretation and ensures an effectiveness and completeness of test data  ...  Our appreciation goes to Qin Zheng, Wen Wang, Dongmei Han for their valuable comments to improve the quality of the paper.  ... 
doi:10.1007/978-3-319-42102-5_14 fatcat:iy7hroicsjd7jpbnth34jbba3a

Entropy Variation and J48 Algorithm based Intrusion Detection System for Cloud Computing

Nupur Gautam, Sreeja Nair
2014 International Journal of Computer Applications  
In this paper we propose an Intrusion detection system which is based on Entropy variation and J48 Decision tree algorithm through which we can detect or prevent vulnerable virtual machines, Data center  ...  Because when we move data or information in cloud we do not have any control on that data which can be handling by third party.  ...  J48 can handle both continuous and discrete attributes, training data with missing attribute values and attributes with differing costs.  ... 
doi:10.5120/18116-9350 fatcat:5ophaicm4reexfohu5ughycohu

Modelling adolescent pedestrian crossing decision at unmarked roadway

Peng Chen, Jingmin Xie, Jingliu Yu
2019 International Journal of Safety and Security Engineering  
Attribute reduction based on discernibility matrix and value reduction based on induction in the rough set theory were applied to reduce the decision table and extract the decision rules of adolescent  ...  To address adolescent pedestrian safety problems at unmarked roadway, there is a need to understand adolescent pedestrian crossing decision behavior at unmarked roadway. cloud model, which is an uncertainty  ...  of qualitative concept; He is the second-order entropy of the entropy and co-determined by both the randomness and fuzziness of entropy. cloud model uses forward cloud generator and backward cloud generator  ... 
doi:10.2495/safe-v9-n4-305-315 fatcat:y6otropmfrc6tetn4e3xm3kyza

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression

Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
2019 2019 IEEE International Conference on Image Processing (ICIP)  
In this paper, we present a novel data-driven geometry compression method for static point clouds based on learned convolutional transforms and uniform quantization.  ...  Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions.  ...  As a result, entropies computed during training are actually differential entropies, or continuous entropies, while entropies computed during evaluation are discrete entropies.  ... 
doi:10.1109/icip.2019.8803413 dblp:conf/icip/QuachVD19 fatcat:uvckdbawsfd2varqwmhl4fqxp4

Learning Convolutional Transforms for Lossy Point Cloud Geometry Compression [article]

Maurice Quach, Giuseppe Valenzise, Frederic Dufaux
2019 arXiv   pre-print
In this paper, we present a novel data-driven geometry compression method for static point clouds based on learned convolutional transforms and uniform quantization.  ...  Efficient point cloud compression is fundamental to enable the deployment of virtual and mixed reality applications, since the number of points to code can range in the order of millions.  ...  As a result, entropies computed during training are actually differential entropies, or continuous entropies, while entropies computed during evaluation are discrete entropies.  ... 
arXiv:1903.08548v2 fatcat:3ze45to3mfh3hc2jnktcsyhlfa

Broker architecture for Web Service selection using SOAPUI

S. Susila, S. Vadivel, Aditya Julka
2012 2012 International Conference on Cloud Computing Technologies, Applications and Management (ICCCTAM)  
This paper deals with ranking and selection of Web services on the basis of Entropy-Based Discretization with the help of using QoS constraints values and classifying them under corresponding service classifier  ...  With a large number of web service providers providing similar services, Web service selection based on QoS classification becomes crucial for the consumer.  ...  Gain (S,A) = Entropy (S) ∑ │ │ │ │ Entropy (Sv) Where v is a value of A, |Sv| is the subset of instances of S where A takes the value v, and |S| is the number of instances Using Entropy-based Discretization  ... 
doi:10.1109/iccctam.2012.6488102 fatcat:q3lsup4zdrcjtkmaeonjnikt2y

Hadoop based Feature Selection and Decision Making Models on Big Data

Thulasi Bikku, N. Sambasiva Rao, Ananda Rao Akepogu
2016 Indian Journal of Science and Technology  
Methods/Analysis: Hadoop, which is a working model based on the Map-Reduce framework with efficient computation and processing of Big Data.  ...  Objectives: A large amount of informative data is being captured and processed by today's organizations and is continuing to increase exponentially.  ...  In this model, each clustered node computes the normalized entropy and coverage factor as follows: Data discretization is a process of converting continuous data attribute values into a finite set of intervals  ... 
doi:10.17485/ijst/2016/v9i10/88905 fatcat:2h6kz3u6qzf5xgt2coshk6sgqi

A Cloud Theory-Based Trust Computing Model in Social Networks

Fengming Liu, Xiaoqian Zhu, Yuxi Hu, Lehua Ren, Henric Johnson
2016 Entropy  
In this paper, a trust management model based on a cloud model is proposed.  ...  To get the reputation trust, we design a two-dimension trust cloud evaluation model based on nodes' comprehensive and trading experience.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/e19010011 fatcat:rbho646qmnaepgryh5elzgmosq

General multidimensional cloud model and its application on spatial clustering in Zhanjiang, Guangdong

Yu Deng, Shenghe Liu, Wenting Zhang, Li Wang, Jianghao Wang
2010 Journal of Geographical Sciences  
Based on infrastructures' classification and demarcation in Zhanjiang, a detailed interpretation of clustering results is made from the spatial distribution of membership degree of clustering, the comparative  ...  However, due to the complexity of spatial interactions between geographical entities, the generation of cloud model is a specific and challenging task.  ...  Based on the non-homogeneous and non-symmetry attributes of spatial objects, entropy also has piecewise features, that is, anisotropy.  ... 
doi:10.1007/s11442-010-0811-8 fatcat:375g42er7ja4teosvuvuz5qjly

Deep AutoEncoder-based Lossy Geometry Compression for Point Clouds [article]

Wei Yan, Yiting shao, Shan Liu, Thomas H Li, Zhu Li, Ge Li
2019 arXiv   pre-print
Our architecture consists of a pointnet-based encoder, a uniform quantizer, an entropy estimation block and a nonlinear synthesis transformation module.  ...  In lossy geometry compression of point cloud, results show that the proposed method outperforms the test model for categories 1 and 3 (TMC13) published by MPEG-3DG group on the 125th meeting, and on average  ...  Their method also includes attribute coding such as color coding based on frequency of occurrence and normal coding using spherical quantization.  ... 
arXiv:1905.03691v1 fatcat:fhd3tegg6zgtfl4vhxi5jf5kje

Entropy solution of fractional dynamic cloud computing system associated with finite boundary condition

Rabha W Ibrahim, Hamid A Jalab, Abdullah Gani
2016 Boundary Value Problems  
Our tool is based on Mellin-Laplace transforms. Also, we suggest a fractional functional entropy formula by using the Tsallis entropy. Approximate outcomes are illustrated and discussed.  ...  Cloud computing is relevant for the applications transported as services over the hardware and for the Internet and systems software in the datacenters that deliver those services.  ...  This research is supported by Project UM.C/625/1/HIR/MOE/FCSIT/03.  ... 
doi:10.1186/s13661-016-0602-y fatcat:or4xv7l3zzf6jhbdrqph5udoei

Packaging Big Data Visualization Based on Computational Intelligence Information Design

Guangchao Zhang, Shakeel Ahmad
2022 Computational Intelligence and Neuroscience  
A method based on a computational intelligence information model is proposed to study the visualization of large data packages.  ...  Methods of character reduction and weight determination are used to reduce the index and weight, establishing a large packaging information system.  ...  In addition, visual design oriented mobile applications developed based on Internet technology appear on a large scale in enterprises and have a large scale in academic research [5] .  ... 
doi:10.1155/2022/4558839 pmid:35502359 pmcid:PMC9056241 fatcat:xei2gntbpjhn5lpv5llcumzoyu
« Previous Showing results 1 — 15 out of 7,580 results