عنوان
پدید آورنده
موضوع
رده
QA76.9.D343
QA76
.
9
.
D343
کتابخانه
محل استقرار
INTERNATIONAL STANDARD BOOK NUMBER
(Number (ISBN
9789811363474
(Number (ISBN
9789811363481
(Number (ISBN
9789811363498
(Number (ISBN
9811363471
(Number (ISBN
981136348X
(Number (ISBN
9811363498
Erroneous ISBN
9789811363467
Erroneous ISBN
9811363463
TITLE AND STATEMENT OF RESPONSIBILITY
Title Proper
Data, engineering and applications.
General Material Designation
[Book]
First Statement of Responsibility
Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer, editors.
Volume Designation
Volume 1 /
.PUBLICATION, DISTRIBUTION, ETC
Place of Publication, Distribution, etc.
Singapore :
Name of Publisher, Distributor, etc.
Springer,
Date of Publication, Distribution, etc.
2019.
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (viii, 191 pages) :
Other Physical Details
illustrations (some color)
CONTENTS NOTE
Text of Note
Intro; Contents; About the Editors; On Data Mining and Social Networking; A Review of Recommender System and Related Dimensions; 1 Introduction; 1.1 Motivation and Problem Explanation; 2 Literature Review; 3 Recommender System Model; 4 Evaluation Metrics for Recommendation Algorithms; 4.1 For Predict on User Ratings; 5 Dimensions of Recommender System; 6 Conclusion; References; Collaborative Filtering Techniques in Recommendation Systems; 1 Introduction; 2 Goals and Critical Challenges; 2.1 Goals; 2.2 Challenges; 3 Classification; 3.1 Content-Based Filtering System
Text of Note
2 Proposed Work2.1 System Overview; 2.2 Methodology; 2.3 Proposed Algorithm; 3 Results Analysis; 3.1 Precision; 3.2 Recall; 3.3 F-measures; 3.4 Time Requirements; 3.5 Memory Usage; 4 Conclusion and Future Work; 4.1 Conclusion; 4.2 Future Work; References; Sentiment Analysis on WhatsApp Group Chat Using R; 1 Introduction; 2 Literature Review; 3 Implementation of Sentiment Analysis Using R Studio; 4 Result Analysis; 5 Conclusion; References; A Recent Survey on Information-Hiding Techniques; 1 Introduction; 1.1 Information Hiding; 2 Illustration of Data-Hiding Technique
Text of Note
2.1 Survey on Reversible Data-Hiding Technique3 Comparison and Discussion; 4 Conclusion; References; Investigation of Feature Selection Techniques on Performance of Automatic Text Categorization; 1 Introduction; 2 Related Work; 3 Material and Methodology; 3.1 Data Source; 3.2 Methodology; 4 Experimental Results and Discussions; 5 Conclusion; References; Identification and Analysis of Future User Interactions Using Some Link Prediction Methods in Social Networks; 1 Introduction; 2 Related Work; 3 Methodology; 3.1 Overview; 3.2 Followers Matrix Computation; 3.3 Celebrity Data Removal
Text of Note
3.4 Positive Edges Sampling3.5 Negative Edges Generation and Sampling; 3.6 Feature Set Extraction; 3.7 Proximity Feature; 3.8 Ego-Centric Features; 3.9 Aggregation Features; 3.10 Edges Classification; 4 Unsupervised Learning; 4.1 Cosine Similarity; 4.2 Jaccard Similarity Coefficient; 4.3 Adamic-Adar Index; 5 Supervised Learning; 6 KNN; 6.1 Random Forest; 6.2 Non-linear SVM; 7 Experimental Results and Analysis; 8 Conclusion and Future Works; References; Sentiment Prediction of Facebook Status Updates of Youngsters; 1 Introduction; 2 Literature Review; 3 Proposed Methodology
0
8
8
8
SUMMARY OR ABSTRACT
Text of Note
This book presents a compilation of current trends, technologies, and challenges in connection with Big Data. Many fields of science and engineering are data-driven, or generate huge amounts of data that are ripe for the picking. There are now more sources of data than ever before, and more means of capturing data. At the same time, the sheer volume and complexity of the data have sparked new developments, where many Big Data problems require new solutions. Given its scope, the book offers a valuable reference guide for all graduate students, researchers, and scientists interested in exploring the potential of Big Data applications.
ACQUISITION INFORMATION NOTE
Source for Acquisition/Subscription Address
Springer Nature
Stock Number
com.springer.onix.9789811363474
OTHER EDITION IN ANOTHER MEDIUM
Title
Data, engineering and applications. Volume 1.
International Standard Book Number
9789811363467
TOPICAL NAME USED AS SUBJECT
Data mining.
Machine learning.
Artificial Intelligence.
Big Data.
Data Mining and Knowledge Discovery.
Data mining.
Machine learning.
(SUBJECT CATEGORY (Provisional
COM021000
UN
UN
DEWEY DECIMAL CLASSIFICATION
Number
006
.
3/12
Edition
23
LIBRARY OF CONGRESS CLASSIFICATION
Class number
QA76
.
9
.
D343
PERSONAL NAME - ALTERNATIVE RESPONSIBILITY
Agrawal, Jitendra
Sharma, Sanjeev, (Information technology executive)
Shukla, Rajesh K.
Tomer, Geetam Singh
ORIGINATING SOURCE
Date of Transaction
20200823233411.0
Cataloguing Rules (Descriptive Conventions))
pn
ELECTRONIC LOCATION AND ACCESS
Electronic name
مطالعه متن کتاب [Book]
Y
