عنوان
پدید آورنده
موضوع
رده
HM742 .V46 2019
HM742
.
V46
2019
کتابخانه
محل استقرار
شابک
شابک
9789811314568
شابک
981131456X
شابک اشتباه
9789811314551
شابک اشتباه
9811314551
عنوان و نام پديدآور
عنوان اصلي
Social network forensics, cyber security, and machine learning /
نام عام مواد
[Book]
نام نخستين پديدآور
P. Venkata Krishna, [and 2 others].
وضعیت نشر و پخش و غیره
محل نشرو پخش و غیره
Singapore :
نام ناشر، پخش کننده و غيره
Springer,
تاریخ نشرو بخش و غیره
[2019]
مشخصات ظاهری
نام خاص و کميت اثر
1 online resource
فروست
عنوان فروست
SpringerBriefs in applied sciences and technology : forensic and medical bioinformatics
يادداشت کلی
متن يادداشت
Working Papers/Technical Papers/Technical Reports
یادداشتهای مربوط به کتابنامه ، واژه نامه و نمایه های داخل اثر
متن يادداشت
Includes bibliographical references.
یادداشتهای مربوط به مندرجات
متن يادداشت
Intro; Contents; 1 Classifying Content Quality and Interaction Quality on Online Social Networks; Abstract; 1.1 Introduction; 1.2 Related Work; 1.3 Analyzing Content Quality in Social Media; 1.3.1 Intrinsic Content Quality; 1.3.2 User Relationships; 1.3.3 Statistics; 1.3.4 Classification; 1.4 Analyzing Interaction Quality in Social Media; 1.4.1 Dataset; 1.4.2 Hypothesis; 1.4.3 Network Analysis; 1.4.4 Classification; 1.5 Conclusion; References; 2 Population Classification upon Dietary Data Using Machine Learning Techniques with IoT and Big Data; Abstract; 2.1 Introduction; 2.1.1 Big Data
متن يادداشت
2.1.2 Healthcare and IOT2.1.3 Balanced Versus Unbalanced (Malnutrition) Diet; 2.1.4 The Principle Contributions of This Paper; 2.2 Related Work; 2.3 Proposed Method; 2.3.1 Data Collection and Pre-processing; 2.3.1.1 Targeted Dataset; 2.3.1.2 Loading and Storing of Dataset; 2.3.1.3 Data Pre-processing; 2.3.2 Rule-Based Method for Classification; 2.3.2.1 Classification Techniques Used in PCUDD; 2.4 Experimental Results and Discussion; 2.4.1 Model Performance; 2.4.2 Classification Model Results Comparison; 2.5 Future Work; 2.6 Conclusion; References; 3 Investigating Recommender Systems in OSNs
متن يادداشت
4.4 Opinion Mining for Data Analytics4.4.1 Recursive Neural Networks; 4.4.2 Maximum Entropy Method; 4.5 Comparison of Algorithms; 4.6 Proposed Methodology; 4.7 Conclusion and Future Work; References; 5 A Framework for Sentiment Analysis Based Recommender System for Agriculture Using Deep Learning Approach; Abstract; 5.1 Introduction; 5.2 Background; 5.2.1 Lexicon Approach; 5.2.2 Machine Learning Approach; 5.2.3 Hybrid Approach; 5.3 System Model; 5.4 Methodology; 5.4.1 Brief Overview About the Methodology to Perform Sentiment Analysis; 5.4.2 Overall Description; 5.5 Experimental Results
متن يادداشت
5.5.1 Andhra Pradesh (AP) Agriculture Tweets Sentiment Rate5.5.2 Unigram Model; 5.5.3 Bigram Model; 5.6 Discussion; 5.7 Conclusion; References; 6 A Review on Crypto-Currency Transactions Using IOTA (Technology); Abstract; 6.1 Introduction; 6.2 Existing Blockchain; 6.2.1 Introduction; 6.2.2 Bitcoin and Its Mining; 6.3 Shortcomings in Blockchains and Bitcoins; 6.4 IOTA; 6.4.1 Introduction; 6.4.2 Directed Acyclic Graph; 6.4.3 Balanced Ternary Logic; 6.4.4 The Tangle; 6.4.5 Issues; 6.5 Summary; 6.6 Conclusion; 6.7 Future Work; Acknowledgements; References; Journal Articles; Technical White Papers
متن يادداشت
Abstract3.1 Introduction; 3.2 Analysis of Available Public Data; 3.2.1 System Architecture; 3.2.2 Creating User Profile; 3.3 Facebook Centred High-Quality Filtering (Disadvantages); 3.4 Database System Support: Recommendation Applications; 3.4.1 Creating a Recommender; 3.5 Conclusion; References; 4 A Methodology for Processing Opinion Mining on GST in India from Social Media Data Using Recursive Neural Networks and Maximum Entropy Techniques; Abstract; 4.1 Introduction; 4.2 Social Media Data Analytics; 4.3 Goods and Services Tax (GST) and Its Significance
بدون عنوان
0
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
بدون عنوان
8
یادداشتهای مربوط به خلاصه یا چکیده
متن يادداشت
This book discusses the issues and challenges in Online Social Networks (OSNs). It highlights various aspects of OSNs consisting of novel social network strategies and the development of services using different computing models. Moreover, the book investigates how OSNs are impacted by cutting-edge innovations.
یادداشتهای مربوط به سفارشات
منبع سفارش / آدرس اشتراک
Springer Nature
شماره انبار
com.springer.onix.9789811314568
ویراست دیگر از اثر در قالب دیگر رسانه
عنوان
Social Network Forensics, Cyber Security, and Machine Learning.
شماره استاندارد بين المللي کتاب و موسيقي
9789811314551
موضوع (اسم عام یاعبارت اسمی عام)
موضوع مستند نشده
Online social networks-- Technological innovations.
رده بندی ديویی
شماره
006
.
7/54
ويراست
23
رده بندی کنگره
شماره رده
HM742
نشانه اثر
.
V46
2019
نام شخص به منزله سر شناسه - (مسئولیت معنوی درجه اول )
مستند نام اشخاص تاييد نشده
Venkata Krishna, P.
مبدا اصلی
تاريخ عمليات
20200823224900.0
قواعد فهرست نويسي ( بخش توصيفي )
pn
دسترسی و محل الکترونیکی
نام الکترونيکي
مطالعه متن کتاب اطلاعات رکورد کتابشناسی
نوع ماده
[Book]
اطلاعات دسترسی رکورد
تكميل شده
Y
