Data, engineering and applications. Volume 1 (2019)

• Record Type: Book
• Further Information: Note: Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer, editors.
• Editors: Shukla, Rajesh K; Agrawal, Jitendra; (Information technology executive), Sharma, Sanjeev; Tomer, Geetam Singh
• Contents: 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 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 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 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
• Publisher Details: Singapore : Springer
• Publication Date: 2019
• Extent: 1 online resource (viii, 191 pages), illustrations (some color)
• Subjects: 006.3/12; Data mining; Machine learning; Electronic books; Electronic books
• Languages: English
• ISBNs: 9789811363474; 9811363471
• Related ISBNs: 9789811363467; 9811363463
• Notes: Note: Online resource; title from PDF title page (SpringerLink, viewed March 27, 2019).
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.