|
|
|
|
| LEADER |
00000cam a2200000xi 4500 |
| 001 |
b10452548 |
| 003 |
CoU |
| 005 |
20190404053932.1 |
| 006 |
m o d |
| 007 |
cr ||||||||||| |
| 008 |
190327s2019 si a o 000 0 eng d |
| 019 |
|
|
|a 1090915392
|
| 020 |
|
|
|a 9789811363474
|q (electronic bk.)
|
| 020 |
|
|
|a 9811363471
|q (electronic bk.)
|
| 020 |
|
|
|z 9789811363467
|q (print)
|
| 020 |
|
|
|z 9811363463
|
| 024 |
7 |
|
|a 10.1007/978-981-13-6347-4
|
| 035 |
|
|
|a (OCoLC)spr1090764234
|
| 035 |
|
|
|a (OCoLC)1090764234
|z (OCoLC)1090915392
|
| 037 |
|
|
|a spr978-981-13-6347-4
|
| 040 |
|
|
|a GW5XE
|b eng
|e rda
|e pn
|c GW5XE
|d EBLCP
|d YDX
|
| 049 |
|
|
|a GWRE
|
| 050 |
|
4 |
|a QA76.9.D343
|
| 066 |
|
|
|c (S
|
| 245 |
0 |
0 |
|a Data, engineering and applications.
|n Volume 1 /
|c Rajesh Kumar Shukla, Jitendra Agrawal, Sanjeev Sharma, Geetam Singh Tomer, editors.
|
| 264 |
|
1 |
|a Singapore :
|b Springer,
|c 2019.
|
| 300 |
|
|
|a 1 online resource (viii, 191 pages) :
|b illustrations (some color)
|
| 336 |
|
|
|a text
|b txt
|2 rdacontent.
|
| 337 |
|
|
|a computer
|b c
|2 rdamedia.
|
| 338 |
|
|
|a online resource
|b cr
|2 rdacarrier.
|
| 505 |
0 |
|
|a 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.
|
| 505 |
8 |
|
|a 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.
|
| 505 |
8 |
|
|a 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.
|
| 505 |
8 |
|
|a 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.
|
| 588 |
0 |
|
|a Online resource; title from PDF title page (SpringerLink, viewed March 27, 2019)
|
| 650 |
|
0 |
|a Data mining.
|0 http://id.loc.gov/authorities/subjects/sh97002073.
|
| 650 |
|
0 |
|a Machine learning.
|0 http://id.loc.gov/authorities/subjects/sh85079324.
|
| 700 |
1 |
|
|a Shukla, Rajesh K.,
|e editor.
|0 http://id.loc.gov/authorities/names/no2011020968.
|
| 700 |
1 |
|
|a Agrawal, Jitendra,
|e editor.
|0 http://id.loc.gov/authorities/names/nb2017013805.
|
| 700 |
1 |
|
|a Sharma, Sanjeev
|c (Information technology executive),
|e editor.
|0 http://id.loc.gov/authorities/names/no2017084630.
|
| 700 |
1 |
|
|a Tomer, Geetam Singh,
|e editor.
|
| 776 |
0 |
8 |
|c Original
|z 9811363463
|z 9789811363467
|w (OCoLC)1080548103.
|
| 856 |
4 |
0 |
|u https://colorado.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-981-13-6347-4
|z Full Text (via Springer)
|
| 880 |
8 |
|
|6 505-00
|a 3.2 Collaborative Filtering4 Experimental Set-up and Results; 4.1 Data set; 4.2 Working Process; 5 Results; 5.1 RMSE; 5.2 MAE; 5.3 F-Measure; 6 Conclusion and Future Scope; References; Predicting Users' Interest Through ELM-Based Collaborative Filtering; 1 Introduction; 2 Background; 3 ELM-Based CF Model; 3.1 Reduction of Dataset; 3.2 ELM for Rating Prediction; 4 Experimental Evaluation; 4.1 Dataset; 4.2 Evaluation Metrics; 4.3 Empirical Results; 4.4 Selection of Parameter β (Beta); 5 Conclusion; References; Application of Community Detection Technique in Text Mining; 1 Introduction.
|
| 907 |
|
|
|a .b104525484
|b 03-19-20
|c 04-16-19
|
| 998 |
|
|
|a web
|b 04-30-19
|c b
|d b
|e -
|f eng
|g si
|h 0
|i 1
|
| 907 |
|
|
|a .b104525484
|b 07-02-19
|c 04-16-19
|
| 944 |
|
|
|a MARS - RDA ENRICHED
|
| 907 |
|
|
|a .b104525484
|b 04-30-19
|c 04-16-19
|
| 915 |
|
|
|a I
|
| 956 |
|
|
|a Springer e-books
|
| 956 |
|
|
|b Springer Computer Science eBooks 2019 English+International
|
| 999 |
f |
f |
|i 9b43588a-aea7-528a-a284-52f980ae1470
|s 4aeb8f83-ff3b-5c6d-b753-795076b233f7
|
| 952 |
f |
f |
|p Can circulate
|a University of Colorado Boulder
|b Online
|c Online
|d Online
|e QA76.9.D343
|h Library of Congress classification
|i Ebooks, Prospector
|n 1
|
