Innovations in computer science and engineering : proceedings of the fourth ICICSE 2016
The book is a collection of high-quality peer-reviewed research papers presented at the Fourth International Conference on Innovations in Computer Science and Engineering (ICICSE 2016) held at Guru Nanak Institutions, Hyderabad, India during 22 - 23 July 2016. The book discusses a wide variety of in...
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| Corporate Author: | |
|---|---|
| Other Authors: | , , |
| Format: | eBook |
| Language: | English |
| Published: |
Singapore :
Springer,
[2017]
|
| Series: | Lecture notes in networks and systems ;
volume 8. |
| Subjects: | |
| ISBN: | 9789811038181 9789811038198 9789811099748 9789811038174 |
| Physical Description: | 1 online resource (xvii, 378 pages) : illustrations |
Cover
Table of contents
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| 111 | 2 | |a International Conference on Internet Computing in Science and Engineering |n (4th : |d 2016 : |c Hyderabad, India) | |
| 245 | 1 | 0 | |a Innovations in computer science and engineering : |b proceedings of the fourth ICICSE 2016 / |c H.S. Saini, Rishi Sayal, Sandeep Singh Rawat, editors. |
| 264 | 1 | |a Singapore : |b Springer, |c [2017] | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (xvii, 378 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a počítač |b c |2 rdamedia | ||
| 338 | |a online zdroj |b cr |2 rdacarrier | ||
| 490 | 1 | |a Lecture notes in networks and systems ; |v volume 8 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | |a Preface; Organizing Committee; Patrons; Conference Chair; Conference Co-Chairs; Convenors; Co-Convenors; Conference Committee; Publicity Chair International; Publicity Chair National; Program and Publication Chair; Accommodation Committee; Advisory Board-International/National, Technical Program Committee; A Note from the Organizing Committee; Contents; About the Editors; 1 Comparative Study of Techniques and Issues in Data Clustering; Abstract; 1 Introduction; 2 Clustering in Data Mining; 2.1 Partitioning Clustering; 2.2 Density Based Clustering; 2.3 Model Based Clustering. | |
| 505 | 8 | |a 2.4 Hierarchical Clustering3 Literature Survey; 3.1 Identification of Formation of Clusters; 3.2 Clustering Large Datasets; 3.3 Large Computational Time; 3.4 Efficient Initial Seed Selection; 3.5 Identification of Different Distance and Similarity Measures; 4 Summary of Clustering Approaches; 5 Conclusion; References; 2 Adaptive Pre-processing and Regression of Weather Data; Abstract; 1 Introduction; 2 Related Work; 3 Proposed Method; 4 Experimental Results; 5 Conclusion and Future Scope; References; 3 A Comparative Analysis for CBIR Using Fast Discrete Curvelet Transform; Abstract. | |
| 505 | 8 | |a 1 Introduction1.1 Content Based Image Retrieval (CBIR); 2 Fast Discrete Curvelet Transform; 2.1 Curvelet Computation; 3 Implementation; 3.1 General Idea; 3.2 Detailed Description; 4 Results and Analysis; 4.1 Outputs; 4.2 Analysis; 5 Conclusion and Future Scope; References; 4 Compute the Requirements and Need of an Online Donation Platform for Non-monetary Resources Using Statistical Analyses; Abstract; 1 Introduction; 2 Literature Review; 2.1 Existing Frameworks Regarding Donor Behavior; 2.2 Marketing Activities of NGO Influencing Donor's Perception. | |
| 505 | 8 | |a 2.3 Applying the Donor Knowledge to an Online Solution3 Result Analysis; 3.1 T-Test; 3.2 ANOVA Test; 3.3 Summary of Results; 4 Conclusion; References; 5 Enacting Segmentation Algorithms for Classifying Fish Species; Abstract; 1 Introduction; 1.1 Nearest Neighbor Classifier; 1.2 Watershed Algorithm; 2 Implementing Watershed Algorithm; 2.1 Load Image; 2.2 Morphological Transformation; 2.3 Adjustment; 2.4 Converting Image to Black and White; 2.5 Calculating BW Distance; 2.6 Applying Watershed; 3 Implementing Nearest Neighbor Classifier; 3.1 Load Image; 3.2 Initialize the Storage for Each Sample. | |
| 505 | 8 | |a 3.3 Selecting Each Sample Region3.4 Converting rgb to l*a*b* Image; 3.5 Calculation of Mean a* and b* Values; 3.6 Performance Classification; 3.7 Clearing Value Distance; 4 Results and Discussions; 4.1 Watershed Algorithm; 4.2 Nearest Neighbor Classifier Algorithm; 5 Conclusion; References; 6 Pattern Based Extraction of Times from Natural Language Text; Abstract; 1 Introduction; 2 Existing Works; 3 Frame Work for Times Extraction; 3.1 Components Description; 4 Pattern Based Rules for Times Extraction; 5 Results; 6 Conclusion and Future Work; References. | |
| 506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
| 520 | |a The book is a collection of high-quality peer-reviewed research papers presented at the Fourth International Conference on Innovations in Computer Science and Engineering (ICICSE 2016) held at Guru Nanak Institutions, Hyderabad, India during 22 - 23 July 2016. The book discusses a wide variety of industrial, engineering and scientific applications of the emerging techniques. Researchers from academic and industry present their original work and exchange ideas, information, techniques and applications in the field of data science and analytics, artificial intelligence and expert systems, mobility, cloud computing, network security, and emerging technologies. | ||
| 590 | |a SpringerLink |b Springer Complete eBooks | ||
| 650 | 0 | |a Computer science |x Technological innovations |v Congresses. | |
| 650 | 0 | |a Engineering |x Technological innovations |v Congresses. | |
| 655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
| 655 | 9 | |a electronic books |2 eczenas | |
| 700 | 1 | |a Saini, H. S., |e editor. | |
| 700 | 1 | |a Sayal, Rishi, |e editor. | |
| 700 | 1 | |a Rawat, Sandeep Singh, |e editor. | |
| 776 | 0 | 8 | |i Print version: |a International Conference on Internet Computing in Science and Engineering (4th : 2016 : Hyderabad, India). |t Innovations in computer science and engineering. |d Singapore : Springer, [2017] |z 9811038171 |z 9789811038174 |w (OCoLC)967863853 |
| 830 | 0 | |a Lecture notes in networks and systems ; |v volume 8. | |
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