عنوان
پدید آورنده
موضوع
رده
QA76.9.B45
QA76
.
9
.
B45
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811308697
(Number (ISBN
9811308691
Erroneous ISBN
9789811308680
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Big data analysis and deep learning applications :
General Material Designation
[Book]
Other Title Information
proceedings of the first International Conference on Big Data Analysis and Deep Learning /
First Statement of Responsibility
Thi Thi Zin, Jerry Chun-Wei Lin, editors.
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
[2018]
Date of Publication, Distribution, etc.
©2019
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource
SERIES
Series Title
Advances in intelligent systems and computing ;
Volume Designation
volume 744
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index.
CONTENTS NOTE
Text of Note
Intro; Preface; Organizing Committee; General Chair; General Co-chairs; Advisory Committee Chairs; Program Committee Chair; Program Committee Co-chair; Publication Chairs; Invited Session Chairs; International Technical Program Committee Members; Contents; Big Data Analysis; Data-Driven Constrained Evolutionary Scheme for Predicting Price of Individual Stock in Dynamic Mark ... ; Abstract; 1 Introduction; 1.1 Artificial Neural Network; 1.2 Genetic Algorithms (GA); 2 Problem Scenario and Assumptions; 2.1 Shift Detection (Trigger); 2.2 Shift Direction; 2.3 Shift Degree; 3 Methodology
Text of Note
3.1 Shift Detection Function3.2 Shift Direction and Shift Degree; 3.3 Fine Tuning; 4 Discussion; References; Predictive Big Data Analytics Using Multiple Linear Regression Model; Abstract; 1 Introduction; 2 Regression Analysis and Big Data; 3 Multiple Linear Regression; 3.1 MapReduce Framework; 4 The Proposed MapReduce Based Multiple Linear Regression Model with QR Decomposition; 4.1 Implementation of the Proposed Model; 5 Experimentation, Discussion and Conclusion; 5.1 Experimental Setup; 5.2 Discussion and Conclusion; References
Text of Note
4 Applications5 Conclusion; References; Real Time Semantic Events Detection from Social Media Stream; Abstract; 1 Introduction; 2 Related Works; 3 Semantic Events Detection; 4 Semantic Words Extraction; 4.1 Data Preprocessing; 5 Real Time Burst Detection; 6 Semantic Events Detection; 7 Experimental Results; 8 Conclusion; References; Community and Outliers Detection in Social Network; Abstract; 1 Introduction; 2 Related Work; 3 Background Theory; 3.1 Graph; 3.2 Node Degree and Its Neighborhood; 3.3 Communities; 3.4 Vertex Centrality; 3.5 Outliers; 3.6 Vertex Similarity; 4 Proposed Approach
Text of Note
5.3 Internet of Things (IoT)6 Data Analysis; 6.1 Preprocessing Text Data; 6.2 Feature Extraction: (tf-idf); 6.3 Maximum Entropy Classifier (MaxEnt); 6.4 Classifier Trainer Algorithms; 7 Experimental Results; 8 Conclusion and Future Work; References; A Survey on Influence and Information Diffusion in Twitter Using Big Data Analytics; Abstract; 1 Introduction; 2 Twitter Network; 2.1 Twitter Metrics; 2.2 Twitter API; 2.3 Data Collection; 3 Influence Models in Social Networks; 3.1 Definition of Influence; 3.2 Information Diffusion in Twitter; 3.3 User Influence Models in Literature
Text of Note
Evaluation for Teacher's Ability and Forecasting Student's Career Based on Big DataAbstract; 1 Introduction; 2 Related Work; 3 Processing; 3.1 Data Collection; 4 Implementation; 4.1 Analyzing the Teacher's Ability; 4.2 Forecasting the Student's Career; 5 Expected Result; 6 Conclusion; References; Tweets Sentiment Analysis for Healthcare on Big Data Processing and IoT Architecture Using Maximum Entropy Classifier; Abstract; 1 Introduction; 2 Related Work; 3 Overall System Architecture; 4 Data Collection; 5 Data Store and Processing; 5.1 Hadoop; 5.2 Raspberry Pi Hadoop Cluster
0
8
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book presents a compilation of selected papers from the first International Conference on Big Data Analysis and Deep Learning Applications (ICBDL 2018), and focuses on novel techniques in the fields of big data analysis, machine learning, system monitoring, image processing, conventional neural networks, communication, industrial information, and their applications. Readers will find insights to help them realize more efficient algorithms and systems used in real-life applications and contexts, making the book an essential reference guide for academic researchers, professionals, software engineers in the industry, and regulators of aviation authorities. .
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811308697
TOPICAL NAME USED AS SUBJECT
Big data, Congresses.
Data mining, Congresses.
Machine learning, Congresses.
Big data.
COMPUTERS-- Data Processing-- General.
Data mining.
Machine learning.
(SUBJECT CATEGORY (Provisional
COM-- 018000
DEWEY DECIMAL CLASSIFICATION
Number
005
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
9
.
B45
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Lin, Jerry Chun-Wei
Zin, Thi Thi
CORPORATE BODY NAME - PRIMARY RESPONSIBILITY
International Conference on Big Data Analysis and Deep Learning(1st :2018 :, Miyazaki-shi, Japan)
ORIGINATING SOURCE
Date of Transaction
20200823224237.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
