The proceedings contain 70 papers. The topics discussed include: group learning analysis and individual learning diagnosis from the perspective of bigdata;bigdataanalysis for Chinese women academicians management;r...
ISBN:
(纸本)9781509025930
The proceedings contain 70 papers. The topics discussed include: group learning analysis and individual learning diagnosis from the perspective of bigdata;bigdataanalysis for Chinese women academicians management;research on the bigdata construction of equipment support;semantic description and link construction of smart tourism linked data based on bigdata;hybrid non-linear dimensionality reduction method framework based on random projections;keyword search on form result with hybrid approach;cloud storage encryption security analysis;design and implementation of SSD aware heterogeneous cache algorithm: a two-level caching algorithm for RAID storage systems;the research and implementation of metadata cache backup technology based on CEP H file system;enhancing parallel k-means using map reduce for discovering knowledge from bigdata;the application of K-means clustering algorithm based on Hadoop;the improvement and application of a K-means clustering algorithm;multi-view clustering via graph regularized symmetric nonnegative matrix factorization;a multilevel k-means algorithm for the clustering problem;and research on fault early warning technology for power middleware system.
The proceedings contain 99 papers. The topics discussed include: a conflict conciliation strategy in data integration;research on cloudcomputing for disaster monitoring using massive remote sensing data;optimizing sm...
ISBN:
(纸本)9781509044986
The proceedings contain 99 papers. The topics discussed include: a conflict conciliation strategy in data integration;research on cloudcomputing for disaster monitoring using massive remote sensing data;optimizing small file storage process of the HDFS which based on the indexing mechanism;medical data classification scheme based on hybridized SMOTE technique (HST) and rough set technique (RST);privacy preserving and performance analysis on not only SQL database aggregation in bigdata era;a distinctive transformation approach of NoSQL's SQL conditions based on Espresso;application of kNN improved algorithm in automatic classification of network public proposal cases;research on optimized R-tree high-dimensional indexing method based on video features;mining potential proteins as drug targets using ensemble models;OCBMLC: an overlapping clustering based multi-label classification algorithm;applying bigdata analytics to reevaluate previous findings of online consumer behavior research-a case study of the city hotel in Taiwan;modeling and exploiting bibliographic network for publication ranking;integrating privacy in architecture design of student information system for bigdata analytics;research on bigdata-driven high-risk students prediction;exploration on college education bigdata open service platform;automotive prospective technology mining method based on bigdata content analysis;and study on adaptive delay schedule algorithm based on progress control of Hadoop.
The proceedings contain 120 papers. The topics discussed include: attribute reduction algorithm based on indistinguishable degree;workflow tasks scheduling optimization based on genetic algorithm in clouds;fuzzy kerne...
ISBN:
(纸本)9781538643006
The proceedings contain 120 papers. The topics discussed include: attribute reduction algorithm based on indistinguishable degree;workflow tasks scheduling optimization based on genetic algorithm in clouds;fuzzy kernel clustering method based on improved quantum-behaved particle swarm optimization algorithm;collaborative filtering algorithm based on rating difference and user interest;an overview on feature-based classification algorithms for multivariate time series;diversified recommendation algorithm for hybrid label based on matrix factorization;top-k influential users selection based on combined Katz centrality and propagation probability;evaluation of blasting effect based on analytic hierarchy process and cloud model in open-pit mines;robust recommendation algorithm using an iterative group-based reputation;incorporating label and attribute information for enhanced network representation learning;quantitative analysis of Matthew effect and sparsity problem of recommender systems;an unsupervised grey incidence clustering method based on multi-dimensional dynamic time warping distance;prediction of particulate matter concentration in Chengdu based on improved differential evolution algorithm and BP neural network model;Chinese Weibo sentiment analysis based on character embedding with dual-channel convolutional neural network;a discussion on fall detection issues and its deployment when cloud meets battery;the prediction model of air-jet texturing yarn intensity based on the CNN-BP neural network;and evaluation of scientific research ability of scientific research staff based on fuzzy neural network.
The proceedings contain 72 papers. The topics discussed include: computing large connected components using map reduce in logarithmic rounds;differential privacy of bigdata: an overview;authentication and access cont...
ISBN:
(纸本)9781509024025
The proceedings contain 72 papers. The topics discussed include: computing large connected components using map reduce in logarithmic rounds;differential privacy of bigdata: an overview;authentication and access control in e-health systems in the cloud;trust issues for bigdata about high-value manufactured parts;privacy preserving rack-based dynamic workload balancing for hadoop MapReduce;a bigdata architecture for security data and its application to phishing characterization;a scalable meta-model for bigdata security analyses;clouds for hit-and-run wireless attacks;secure data outsourcing with adversarial data dependency constraints;an ultra lightweight encryption design for security in pervasive computing;and reverse TCP and social engineering attacks in the era of bigdata.
The proceedings contain 166 papers. The topics discussed include: activity recognition based on the dynamic coordinate transformation of inertial sensor data;plogs: materializing datalog programs with mapreduce for sc...
ISBN:
(纸本)9781509027705
The proceedings contain 166 papers. The topics discussed include: activity recognition based on the dynamic coordinate transformation of inertial sensor data;plogs: materializing datalog programs with mapreduce for scalable reasoning;evaluating the impact of data transfer time and mobility patterns in opportunistic networks;improving the reliability of pervasive computing applications by continuous checking of sensor readings;a navigation cognitive system driven by hierarchical spiking neural network;heterogeneous data driven manifold regularization model for fingerprint calibration reduction;towards efficient data services in vehicular networks via cooperative infrastructure-to-vehicle and vehicle-to-vehicle communications;dynamic domain model for micro context-aware adaptation of applications;human activity recognition of continuous data using hidden Markov models and the aspect of including discrete data;and build smart campus using human behavioral data.
The proceedings contain 112 papers. The topics discussed include: generating test suites with high 3-way coverage for software testing;QoE control of network using collective intelligence of SNS in large-scale disaste...
ISBN:
(纸本)9781509043149
The proceedings contain 112 papers. The topics discussed include: generating test suites with high 3-way coverage for software testing;QoE control of network using collective intelligence of SNS in large-scale disasters;reducing risk of rollover in curve for heavy-duty vehicles with an agent-based advanced driver assistance system;Drishti: a mobile application based multipurpose surveillance system;brain cancer diagnosis-association rule based computational intelligence approach;ontology techniques for representing the problem of discourse: design of solution application perspective;community detection for cold start problem in personalization: community detection is large social network graphs based on users' structural similarities and their attribute similarities;degree of integration into social networks (DISN) evaluation model based on micro-blogging platforms and information dissemination prediction;an improved ant colony optimization algorithm for recommendation of micro-learning path;hybrid attack path enumeration system based on reputation scores;particle swarm stepwise algorithm (PaSS) on multicore hybrid CPU-GPU clusters;and multi-way clustering for heterogeneous information networks with general network schema.
The proceedings contain 103 papers. The topics discussed include: online purchase behavior prediction and analysis using ensemble learning;research on deep learning based code generation from natural language descript...
ISBN:
(纸本)9781728160245
The proceedings contain 103 papers. The topics discussed include: online purchase behavior prediction and analysis using ensemble learning;research on deep learning based code generation from natural language description;power consumption forecast of energy-intensive enterprises based on power marketing business data;a fast and accurate face alignment method based on deep learning on mobile device;time series segmentation of flood flow based on bi-LG-LSTM neural network;analysis of vessel anomalous behavior based on Bayesian recurrent neural network;operation framework of the command information system based on bigdataanalysis;and a cooperative vehicles selection method based on privacy-preserving driving routes comparison for urban scenarios.
The proceedings contain 119 papers. The topics discussed include: data mining of association between hyperuricemia and common chronic diseases based on evolutionary apriori algorithm (EAA);functional clustering based ...
ISBN:
(纸本)9780738105338
The proceedings contain 119 papers. The topics discussed include: data mining of association between hyperuricemia and common chronic diseases based on evolutionary apriori algorithm (EAA);functional clustering based on weighted partitioning around Medoid algorithm with estimation of number of clusters;analysis of the research progress of sharing economy based on bibliometric perspective;a refined NMS scheme based on center distance and corner distribution;credit evaluation and blockchain consensus for supply chain;EPIC Collab: supporting asynchronous collaboration in bigdataanalysis systems;web service clustering method based on word vector and biterm topic model;defect detection of rubber gloves based on normal samples;and traffic state identification for expressway network based on ETC gantry system.
The proceedings contain 311 papers. The topics discussed include: a robust image hashing with enhanced randomness by using random walk on zigzag blocking;securing fast learning! ridge regression over encrypted big dat...
ISBN:
(纸本)9781509032051
The proceedings contain 311 papers. The topics discussed include: a robust image hashing with enhanced randomness by using random walk on zigzag blocking;securing fast learning! ridge regression over encrypted bigdata;computational trust model for repeated trust games;formal analysis of selective disclosure attribute-based credential system in applied Pi calculus;node trust prediction framework in mobile ad hoc networks;trust enhancement over range search for encrypted data;healthcare fraud detection based on trustworthiness of doctors;integrated security for services hosted in virtual environments;a permissioned blockchain framework for supporting instant transaction and dynamic block size;trust validation of cloud IaaS: a customer-centric approach;distributed bitcoin account management;trusted Boolean search on cloud using searchable symmetric encryption;and dynamic attribute-based access control in cloud storage systems.
The proceedings contain 40 papers. The topics discussed include: Cartesian operations on distributed datasets using virtual partitioning;benchmarking of distributed computing engines spark and GraphLab for bigdata an...
ISBN:
(纸本)9781509022519
The proceedings contain 40 papers. The topics discussed include: Cartesian operations on distributed datasets using virtual partitioning;benchmarking of distributed computing engines spark and GraphLab for bigdata analytics;spark-based political event coding;a multi-key transactions model for NoSQL clouddatabase systems;predicting gaming related properties from twitter profiles;mining user interests to predict perceived psycho-demographic traits on twitter;attribute based access control for bigdata applications by query modification;large-scale industrial alarm reduction and critical events mining using graph analytics on spark;fault-diagnosis for reciprocating compressors using bigdata;fortune, albeit digital, at the bottom of the pyramid - bigdata powered business model for internet service providers;and Topiclistener: observing key topics from multi-channel speech audio streams.
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