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An Efficient And Scalable Density-Based Clustering Algorithm For Normalize data 2

An Efficient And Scalable Density-Based Clustering Algorithm...

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2nd international conference on Intelligent computing, Communication & Convergence (ICCC)

作者： Nidhi Patel, Km Archana Natl Inst Technol Kurukshetra 136119 Haryana India

data clustering is a method of putting same data object into group. A clustering rule does partitions of a data set into many groups supported the principle of maximizing the intra-class similarity and minimizing the inter-class similarity. Finding clusters in object, particularly high dimensional object, is difficult when the clusters are different shapes, sizes, and densities, and when data contains noise and outliers. This paper provides a new clustering algorithm for normalized data set and proven that our new planned clustering approach work efficiently when dataset are normalized. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： Density based Clustering Algorithm Computational complexity

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A classification of NoSQL data stores based on key design characteristics 2nd

A classification of NoSQL data stores based on key design ch...

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2nd international conference on Cloud Forward - From Distributed to Complete computing

作者： Makris, Antonios Tserpes, Konstantinos Andronikou, Vassiliki Anagnostopoulos, Dimosthenis Harokopio Univ Athens 9 Omirou Tavros 17778 Greece Natl Tech Univ Athens 9 Iroon Polytech Zografos 15773 Greece

Traditional Relational database Management Systems are continuously being replaced by NoSQL data stores as a result of the growing demand for big data applications. The emergence of a large number of implementations of such like systems is a contributing indicator. This paper deals with the analysis of some key design characteristics of NoSQL systems and uses these for their characterization based on their capabilities. Furthermore, it highlights the relationship between NoSQL systems and cloud infrastructures and explains the impact that the existence of one has to the other. (C) 2016 The Authors. Published by Elsevier B.V.

关键词： NoSql RDBMS Cloud computing data stores Design characteristics

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Using CouchDB to Compute Temporal Aggregates

Using CouchDB to Compute Temporal Aggregates

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18th IEEE international conference on High Performance computing and Communications (HPCC) / 14th IEEE international conference on Smart City (Smart City) / 2nd IEEE international conference on data science and Systems (DSS)

作者： Dyreson, Curtis E. Utah State Univ Dept Comp Sci Logan UT 84322 USA

ISBN: (纸本)9781509042975

computing an aggregate on big data is a common application of mapreduce. The map groups values based on some key, and the reduce computes the aggregate for the group. But temporal data cannot be effectively grouped, so to compute a temporal aggregate, a new strategy is needed. Temporal data is data annotated with time metadata, usually a temporal period representing the lifetime of the data in some time dimension. Since periods have extent they are not directly amenable to grouping on some value-based key. The main contribution of this paper is to show how temporal aggregates can be computed using CouchDB (and by extension in other mapreduce systems). We introduce a new kind of timestamp, which we call a log-segmented timestamp, and we show how to use the timestamp to compute a temporal aggregate. Our technique reuses and extends existing mapreduce techniques.

关键词： CouchDB Mapreduce Temporal aggregation Temporal data

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An IoT Inspired Semiconductor Reliability Test System Integrated with data-Mining Applications 2

An IoT Inspired Semiconductor Reliability Test System Integr...

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2nd international conference on Cloud computing and Internet of Things (CCIOT)

作者： Tang, Tyler Junyao Chung, Andrew Zhao, Atman Kang, Randy Zhang, Mark Chien, Kary Yang, Jungang Zhang, Jie Semicond Mfg Int Corp Qual & Reliabil Engn Shanghai Peoples R China Shanghai Jiao Tong Univ Inst Intelligent Mfg & Informat Engn Shanghai Peoples R China

ISBN: (纸本)9781467398237

Reliability assessment is a key step in ensuring the quality of a product. As semiconductor technology continues to evolve, the reliability test process also complicates, involving engineers and technical assistants responsible for different test tasks. In this paper, we propose a design of a comprehensive Reliability Management and Index System that integrates online test requests, database management and test data analysis. In addition, the resultant big data collected by the system inspire potential data-mining applications for new reliability data-analysis approaches.

关键词： Semiconductor reliability test industrial 4.0 software system design data mining Bayesian reliability

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Feel-Phy: An intelligent web-based physics QA system 2nd

Feel-Phy: An intelligent web-based physics QA system

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2nd international conference on soft computing in data science, scds 2016

作者： Fong, Kwong Seng Bong, Chih How Ahmad, Zahrah Binti Idris, Norisma Binti Faculty of Computer Science and Information Technology Universiti Malaysia Sarawak Kota SamarahanSarawak94300 Malaysia Centre for Foundation Studies in Science University of Malaya Kuala Lumpur50603 Malaysia Faculty of Computer Science and Information Technology University of Malaya Kuala Lumpur50603 Malaysia

ISBN: (纸本)9789811027765

Feel-Phy is a computerized and unmanned question answering system which is able to solve open-ended Physics problems, providing adaptive guidance and retrieve relevant resources to user inputs. Latent Semantic Indexing (LSI) is employed to process the user inputs and retrieve relevant references. The proposed architecture for Feel-Phy constitutes of four basic modules: data extraction, question classification, solution identification and answer formulation. The data extraction module is used to construct a Physics knowledge base. The question classification module is used to identify question type and understand the question. The solution identification module computes the answer to the question and also retrieve the top n most relevant resource References to the users. Finally, the last module, answer formulation is to present the results to the users. Our preliminary experiments have shown that this proposed method is able to solve well-structure Physics question and retrieve relevant References to the users. © Springer Nature Singapore Pte Ltd. 2016.

关键词： data mining

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Selection probe of EEG using dynamic graph of autocatalytic set (ACS) 2nd

Selection probe of EEG using dynamic graph of autocatalytic ...

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2nd international conference on soft computing in data science, scds 2016

作者： Ashaari, Azmirul Ahmad, Tahir Zenian, Suzelawati Shukor, Noorsufia Abdul Department of Mathematical Science Faculty of Science Universiti Teknologi Malaysia UTM SkudaiJohor81310 Malaysia Centre for Sustainable Nanomaterials Ibnu Sina Institute for Scientific and Industrial Research Universiti Teknologi Malaysia UTM SkudaiJohor81310 Malaysia Department of Mathematics with Computer Graphics Faculty of Science and Natural Resources Universiti Malaysia Sabah USM Jalan Kota KinabaluSabah88400 Malaysia Fakulti Sains Komputer dan Matematik Universiti Teknologi Mara Cawangan Negeri Sembilan Kampus Seremban 3 SerembanNegeri Sembilan70300 Malaysia

ISBN: (纸本)9789811027765

Electroencephalography (EEG) machine is a medical equipment which is used to diagnose seizure. EEG signal records data in the form of graph which consist of abnormal patterns such as spikes, sharp waves and also spikes and wave complexes. This pattern also come in multiple line series which then give some difficulties to analyze. This paper introduce the implementation of dynamic graph of Autocatalytic Set (ACS) for EEG signal during seizure. The result is then compared with other publish method namely Principal Component Analysis (PCA) of same EEG data. © Springer Nature Singapore Pte Ltd. 2016.

关键词： Electroencephalography

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Cloud challenges towards Free Flow of data 2nd

Cloud challenges towards Free Flow of Data

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2nd international conference on Cloud Forward - From Distributed to Complete computing

作者： Rios, Erkuden Rak, Massimiliano Tecnalia Parque Cient & Tecnol BizkaiaEdificio 700 Derio 48160 Spain Seconda Univ Napoli Via Roma 9 I-81031 Aversa Italy

The Free Flow of data is an emerging challenge to which the European Commission is currently working on with a legislative proposal due for the end of 2016, as part of the Digital Single Market (DSM) strategy. The proposal aims at tackling unjustified "restrictions on the free movement of data" among Member States. This paper analyses a number of cloud challenges of trustworthy inter-cloud environments identified by on-going EU-funded-research initiatives dealing with security, privacy and data protection issues of Cloud solutions. (C) 2016 Published by Elsevier B.V.

关键词： security privacy inter-cloud free flow of data

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B2P2: A Scalable Big Bioacoustic Processing Platform

B2P2: A Scalable Big Bioacoustic Processing Platform

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作者： Thudumu, Srikanth Garg, Saurabh Montgomery, James Univ Tasmania Sch Engn & ICT Sandy Bay Tas 7005 Australia

ISBN: (纸本)9781509042975

Many application areas such as biodiversity monitoring and speech recognition produce several gigabytes of audio data per day;think of weeks, months of accumulated data available to analyse. However, current methods and frameworks can only process a few megabytes at a time. Moreover, these methods require a lot of manual processing before they can give relevant results for biodiversity researchers. In this paper, we present a novel scalable framework called B2P2 for handling large audio files and processing them in an efficient manner. The proposed framework can process and handle large audio data that can indicate whether there are sounds of potential interest throughout large audio recordings. We implemented the proposed framework using Bigdata platforms such as Spark and HDFS. Experimental results demonstrate an increase in speed-up and performance of processing audio files when increasing nodes and data sizes on cloud computing.

关键词： Spectrogram Acoustic data Big data Scala Apache Spark Hadoop Distributed File System (HDFS) Cloud computing

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Towards European Open science Commons: The EGI Open data Platform and The EGI dataHub 2nd

Towards European Open Science Commons: The EGI Open Data Pla...

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2nd international conference on Cloud Forward - From Distributed to Complete computing

作者： Viljoen, Matthew Dutka, Lukasz Kryza, Bartosz Chen, Yin EGI Eu Sci Pk 140 NL-1098 XT Amsterdam Netherlands AGH Univ Sci & Technol Acad Comp Ctr CYFRONET Ul Nawojki 11 PL-30950 Krakow Poland

This paper introduces the EGI Open data Platform and the EGI dataHub, outlines their functionality and explains how this meets the requirements of EGI end users. The paper also explains how these new services can support the European Open science Cloud and will fit into the future European Strategy Report on Research Infrastructures (ESFRI). (C) 2016 The Authors. Published by Elsevier B.V.

关键词： Open science Common EGI Engage data as a Service Open data Platform dataHub EGI EGI Foundation

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Research on Earthquake Emergency Response Technology Based on Google Maps data 2

Research on Earthquake Emergency Response Technology Based o...

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2nd international conference on Cloud computing and Internet of Things (CCIOT)

作者： Tan Qing-quan Luo Hua-chun Ren Zhi-lin Liu Qun Earthquake Adm Beijing Municipal Beijing Peoples R China

ISBN: (纸本)9781467398237

As is well known, earthquake often inflicts severe casualties and property losses. The occurrence of earthquakes cannot be reliably predicted by current technology, therefore the earthquake emergency and rescue is an important part of protecting against and mitigating earthquake disasters. Basic geographical data play an important role in earthquake emergency work. However, it is hard to acquire the spatial data of the earthquake site in short time. Therefore, the Google Maps data could be applied in the early stage of post-earthquake emergency work. This paper discusses the principles of Google Maps and technologies of applying Google Maps data in earthquake emergency work. The down loading and merging algorithm is designed and implemented. Using Google Maps data and the program, we produced thematic maps in real earthquake emergency work. It is proved that the methods are feasible and have great practical application significance.

关键词： earthquake emergency response Google Maps WebGlS Yushu Earthquake

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