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Author | Title | Accn# | Year | Item Type | Claims |
| 1 |
Battiston, Stefano |
Proceedings of ECCS 2014 |
I10415 |
2016 |
eBook |
|
| 2 |
Karsai, M??rton |
Bursty Human Dynamics |
I10000 |
2018 |
eBook |
|
| 3 |
Bourgine, Paul |
First Complex Systems Digital Campus World E-Conference 2015 |
I09839 |
2017 |
eBook |
|
| 4 |
Lehmann, Sune |
Complex Spreading Phenomena in Social Systems |
I09819 |
2018 |
eBook |
|
| 5 |
Zhou, Yun Lai |
Data Mining in Structural Dynamic Analysis |
I09086 |
2019 |
eBook |
|
| 6 |
Wang, Yan |
First-stage LISA Data Processing and Gravitational Wave Data Analysis |
I08830 |
2016 |
eBook |
|
| 7 |
Lookman, Turab |
Materials Discovery and Design |
I08650 |
2018 |
eBook |
|
| 8 |
Bertino, Elisa |
Roles, Trust, and Reputation in Social Media Knowledge Markets |
I07794 |
2015 |
eBook |
|
| 9 |
Beysens, Daniel |
Laboratory Science with Space Data |
I07650 |
2011 |
eBook |
|
| 10 |
Tansel Ozyer (ed.) |
Mining Social Networks and Security Informatics |
I07598 |
2013 |
eBook |
|
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1.
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| Title | Proceedings of ECCS 2014 : European Conference on Complex Systems |
| Author(s) | Battiston, Stefano;De Pellegrini, Francesco;Caldarelli, Guido;Merelli, Emanuela |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XVIII, 327 p. 128 illus., 48 illus. in color : online resource |
| Abstract Note | This work contains a stringent selection of extended contributions presented at the meeting of 2014 and its satellite meetings, reflecting scope, diversity and richness of research areas in the field, both fundamental and applied. The ECCS meeting, held under the patronage of the Complex Systems Society, is an annual event that has become the leading European conference devoted to complexity science. It offers cutting edge research and unique opportunities to study novel scientific approaches in a multitude of application areas. ECCS'14, its eleventh occurrence, took place in Lucca, Italy. It gathered some 650 scholars representing a wide range of topics relating to complex systems research, with emphasis on interdisciplinary approaches. The editors are among the best specialists in the area. The book is of great interest to scientists, researchers and graduate students in complexity, complex systems and networks |
| ISBN,Price | 9783319292281 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPLEX SYSTEMS
3. COMPLEXITY
4. COMPUTATIONAL COMPLEXITY
5. DATA MINING
6. Data Mining and Knowledge Discovery
7. EBOOK
8. EBOOK - SPRINGER
9. PHYSICS
10. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10415 |
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On Shelf |
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2.
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| Title | Bursty Human Dynamics |
| Author(s) | Karsai, M??rton;Jo, Hang-Hyun;Kaski, Kimmo |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XVI, 121 p. 17 illus., 16 illus. in color : online resource |
| Abstract Note | This book provides a comprehensive overview on emergent bursty patterns in the dynamics of human behaviour. It presents common and alternative understanding of the investigated phenomena, and points out open questions worthy of further investigations. The book is structured as follows. In the introduction the authors discuss the motivation of the field, describe bursty phenomena in case of human behaviour, and relate it to other disciplines. The second chapter addresses the measures commonly used to characterise heterogeneous signals, bursty human dynamics, temporal paths, and correlated behaviour. These definitions are first introduced to set the basis for the discussion of the third chapter about the observations of bursty human patterns in the dynamics of individuals, dyadic interactions, and collective behaviour. The subsequent fourth chapter discusses the models of bursty human dynamics. Various mechanisms have been proposed about the source of the heterogeneities in human dynamics, which leads to the introduction of conceptually different modelling approaches. The authors address all of these perspectives objectively, highlight their strengths and shortcomings, and??mention possible extensions to them. The fifth chapter addresses the effect of individual heterogeneous behaviour on collective dynamics. This question in particular has been investigated in various systems including spreading phenomena, random walks, and opinion formation dynamics. Here the main issues are whether burstiness speeds up or slows down the co-evolving processes, and how burstiness modifies time-dependent paths in the system that determine the spreading patterns of any kind of information or influence. Finally in the sixth chapter the authors end the review with a discussion and future perspectives. It is an ideal book for researchers and students who wish to enter the field of bursty human dynamics or want to expand their knowledge on such phenomena |
| ISBN,Price | 9783319685403 |
| Keyword(s) | 1. Applications of Nonlinear Dynamics and Chaos Theory
2. COMMUNICATION
3. Communication Studies
4. DATA MINING
5. Data Mining and Knowledge Discovery
6. DATA STRUCTURES
7. Data structures (Computer science)
8. Data-driven Science, Modeling and Theory Building
9. EBOOK
10. EBOOK - SPRINGER
11. ECONOPHYSICS
12. Sociophysics
13. STATISTICAL PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I10000 |
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On Shelf |
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3.
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| Title | First Complex Systems Digital Campus World E-Conference 2015 |
| Author(s) | Bourgine, Paul;Collet, Pierre;Parrend, Pierre |
| Publication | Cham, Springer International Publishing, 2017. |
| Description | VIII, 424 p. 120 illus., 96 illus. in color : online resource |
| Abstract Note | This book contains the proceedings as well as invited papers for the first annual conference of the UNESCO Unitwin Complex System Digital Campus (CSDC), which is an international initiative gathering 120 Universities on four continents, and structured in ten E-Departments. First Complex Systems Digital Campus World E-Conference 2015 features chapters from the latest research results on theoretical questions of complex systems and their experimental domains. The content contained bridges the gap between the individual and the collective within complex systems science and new integrative sciences on topics such as: genes to organisms to ecosystems, atoms to materials to products, and digital media to the Internet. The conference breaks new ground through a dedicated video-conferencing system ??? a concept at the heart of the international UNESCO UniTwin, embracing scientists from low-income and distant countries. This book promotes an integrated system of research, education, and training. It also aims at contributing to global development by taking into account its social, economic, and cultural dimensions. First Complex Systems Digital Campus World E-Conference 2015 will appeal to students and researchers working in the fields of complex systems, statistical physics, computational intelligence, and biological physics. |
| ISBN,Price | 9783319459011 |
| Keyword(s) | 1. Biological and Medical Physics, Biophysics
2. BIOLOGICAL PHYSICS
3. BIOPHYSICS
4. COMPLEX SYSTEMS
5. COMPLEXITY
6. COMPUTATIONAL COMPLEXITY
7. Computational Intelligence
8. DATA MINING
9. Data Mining and Knowledge Discovery
10. DYNAMICAL SYSTEMS
11. EBOOK
12. EBOOK - SPRINGER
13. STATISTICAL PHYSICS
14. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09839 |
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On Shelf |
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4.
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| Title | Complex Spreading Phenomena in Social Systems : Influence and Contagion in Real-World Social Networks |
| Author(s) | Lehmann, Sune;Ahn, Yong-Yeol |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | VI, 361 p. 104 illus., 81 illus. in color : online resource |
| Abstract Note | This text is about spreading of information and influence in complex networks. Although previously considered similar and modeled in parallel approaches, there is now experimental evidence that epidemic and social spreading work in subtly different ways. While previously explored through modeling, there is currently an explosion of work on revealing the mechanisms underlying complex contagion based on big data and data-driven approaches. This volume consists of four parts. Part 1 is an Introduction, providing an accessible summary of the state-of-the-art. Part 2 provides an overview of the central theoretical developments in the field. Part 3 describes the empirical work on observing spreading processes in real-world networks. Finally, Part 4 goes into detail with recent and exciting new developments: dedicated studies designed to measure specific aspects of the spreading processes, often using randomized control trials to isolate the network effect from confounders, such as homophily. Each contribution is authored by leading experts in the field. This volume, though based on technical selections of the most important results on complex spreading, remains quite accessible to the newly interested. The main benefit to the reader is that the topics are carefully structured to take the novice to the level of expert on the topic of social spreading processes. This book will be of great importance to a wide field: from researchers in physics, computer science, and sociology to professionals in public policy and public health |
| ISBN,Price | 9783319773322 |
| Keyword(s) | 1. Applications of Graph Theory and Complex Networks
2. COMPUTER SIMULATION
3. DATA MINING
4. Data Mining and Knowledge Discovery
5. EBOOK
6. EBOOK - SPRINGER
7. Methodology of the Social Sciences
8. PHYSICS
9. Simulation and Modeling
10. SOCIAL SCIENCES
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09819 |
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On Shelf |
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5.
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| Title | Data Mining in Structural Dynamic Analysis : A Signal Processing Perspective |
| Author(s) | Zhou, Yun Lai;Wahab, Magd Abdel;Maia, Nuno M. M;Liu, Linya;Figueiredo, El??i |
| Publication | Singapore, Springer Singapore, 2019. |
| Description | X, 169 p. 91 illus., 73 illus. in color : online resource |
| Abstract Note | This book highlights the applications of data mining technologies in structural dynamic analysis, including structural design, optimization, parameter identification, model updating, damage identification, in civil, mechanical, and aerospace engineering. These engineering applications require precise structural design, fabrication, inspection, and further monitoring to obtain a full life-cycle analysis, and by focusing on data processing, data mining technologies offer another aspect in structural dynamic analysis. Discussing techniques in time/frequency domain, such as Hilbert transforms, wavelet theory, and machine learning for structural dynamic analysis to help in structural monitoring and diagnosis, the book is an essential reference resource for beginners, graduates and industrial professionals in various fields |
| ISBN,Price | 9789811505010 |
| Keyword(s) | 1. BUILDING
2. Building Construction and Design
3. Building repair
4. Building Repair and Maintenance
5. Buildings???Design and construction
6. Buildings???Repair and reconstruction
7. CLASSICAL MECHANICS
8. Computer-aided engineering
9. Computer-Aided Engineering (CAD, CAE) and Design
10. CONSTRUCTION
11. DATA MINING
12. Data Mining and Knowledge Discovery
13. EBOOK
14. EBOOK - SPRINGER
15. Engineering, Architectural
16. MECHANICS
17. Mechanics, Applied
18. Solid Mechanics
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I09086 |
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On Shelf |
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6.
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| Title | First-stage LISA Data Processing and Gravitational Wave Data Analysis : Ultraprecise Inter-satellite Laser Ranging, Clock Synchronization and Novel Gravitational Wave Data Analysis Algorithms |
| Author(s) | Wang, Yan |
| Publication | Cham, Springer International Publishing, 2016. |
| Description | XXX, 228 p. 97 illus., 1 illus. in color : online resource |
| Abstract Note | This thesis covers a diverse set of topics related to space-based gravitational wave detectors such as the Laser Interferometer Space Antenna (LISA). The core of the thesis is devoted to the preprocessing of the interferometric link data for a LISA constellation, specifically developing optimal Kalman filters to reduce arm length noise due to clock noise. The approach is to apply Kalman filters of increasing complexity to make optimal estimates of relevant quantities such as constellation arm length, relative?? clock drift, and Doppler frequencies based on the available measurement data. Depending on the complexity of the filter and the simulated data, these Kalman filter estimates can provide up to a few orders of magnitude improvement over simpler estimators. While the basic concept of the LISA?? measurement (Time Delay Interferometry) was worked out some time ago, this work brings a level of rigor to the processing of the constellation-level data products. The thesis concludes with some topics related to the eLISA such as a new class of phenomenological waveforms for extreme mass-ratio inspiral sources (EMRIs, one of the main source for eLISA), an octahedral space-based GW detector that does not require drag-free test masses, and some efficient template-search algorithms for the case of relatively high SNR signals |
| ISBN,Price | 9783319263892 |
| Keyword(s) | 1. ASTROPHYSICS
2. Astrophysics and Astroparticles
3. Classical and Quantum Gravitation, Relativity Theory
4. DATA MINING
5. Data Mining and Knowledge Discovery
6. EBOOK
7. EBOOK - SPRINGER
8. GRAVITATION
9. LASERS
10. Measurement Science and Instrumentation
11. Measurement??????
12. Optics, Lasers, Photonics, Optical Devices
13. PHOTONICS
14. PHYSICAL MEASUREMENTS
15. QUANTUM OPTICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08830 |
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On Shelf |
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7.
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| Title | Materials Discovery and Design : By Means of Data Science and Optimal Learning |
| Author(s) | Lookman, Turab;Eidenbenz, Stephan;Alexander, Frank;Barnes, Cris |
| Publication | Cham, Springer International Publishing, 2018. |
| Description | XVI, 256 p. 98 illus., 88 illus. in color : online resource |
| Abstract Note | This book addresses the current status, challenges and future directions of data-driven materials discovery and design. It presents the analysis and learning from data as a key theme in many science and cyber related applications. The challenging open questions as well as future directions in the application of data science to materials problems are sketched. Computational and experimental facilities today generate vast amounts of data at an unprecedented rate. The book gives guidance to discover new knowledge that enables materials innovation to address grand challenges in energy, environment and security, the clearer link needed between the data from these facilities and the theory and underlying science. The role of inference and optimization methods in distilling the data and constraining predictions using insights and results from theory is key to achieving the desired goals of real time analysis and feedback. Thus, the importance of this book lies in emphasizing that the full value of knowledge driven discovery using data can only be realized by integrating statistical and information sciences with materials science, which is increasingly dependent on high throughput and large scale computational and experimental data gathering efforts. This is especially the case as we enter a new era of big data in materials science with the planning of future experimental facilities such as the Linac Coherent Light Source at Stanford (LCLS-II), the European X-ray Free Electron Laser (EXFEL) and MaRIE (Matter Radiation in Extremes), the signature concept facility from Los Alamos National Laboratory. These facilities are expected to generate hundreds of terabytes to several petabytes of in situ spatially and temporally resolved data per sample. The questions that then arise include how we can learn from the data to accelerate the processing and analysis of reconstructed microstructure, rapidly map spatially resolved properties from high throughput data, devise diagnostics for pattern detection, and guide experiments towards desired targeted properties. The authors are an interdisciplinary group of leading experts who bring the excitement of the nascent and rapidly emerging field of materials informatics to the reader. |
| ISBN,Price | 9783319994659 |
| Keyword(s) | 1. Characterization and Evaluation of Materials
2. Computational Science and Engineering
3. Computer mathematics
4. DATA MINING
5. Data Mining and Knowledge Discovery
6. EBOOK
7. EBOOK - SPRINGER
8. Engineering???Materials
9. Materials Engineering
10. MATERIALS SCIENCE
11. NUMERICAL ANALYSIS
12. Numerical and Computational Physics, Simulation
13. PHYSICS
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I08650 |
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On Shelf |
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8.
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| Title | Roles, Trust, and Reputation in Social Media Knowledge Markets : Theory and Methods |
| Author(s) | Bertino, Elisa;Matei, Sorin Adam |
| Publication | Cham, Springer International Publishing, 2015. |
| Description | XIV, 198 p. 16 illus., 15 illus. in color : online resource |
| Abstract Note | This title discusses the emerging trends in defining, measuring, and operationalizing reputation as a new and essential component of the knowledge that is generated and consumed online. The book also proposes a future research agenda related to these issues???with the ultimate goal of shaping the next generation of theoretical and analytic strategies needed for understanding how knowledge markets are influenced by social interactions and reputations built around functional roles. Roles, Trust, and Reputation in Social Media Knowledge Markets exposes issues that have not been satisfactorily dealt with in the current literature. In a broader sense, the volume aims to change the way in which knowledge generation in social media spaces is understood and utilized. The tools, theories, and methodologies proposed here offer concrete avenues for developing the next generation of research strategies and applications that will help: tomorrow???s information consumers make smarter choices, developers to create new tools, and researchers to launch new research programs |
| ISBN,Price | 9783319054674 |
| Keyword(s) | 1. APPLICATION SOFTWARE
2. Applications of Graph Theory and Complex Networks
3. COMPLEX SYSTEMS
4. Computer Appl. in Social and Behavioral Sciences
5. DATA MINING
6. Data Mining and Knowledge Discovery
7. EBOOK
8. EBOOK - SPRINGER
9. Methodology of the Social Sciences
10. PHYSICS
11. SOCIAL SCIENCES
12. SYSTEM THEORY
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07794 |
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On Shelf |
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9.
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| Title | Laboratory Science with Space Data : Accessing and Using Space-Experiment Data |
| Author(s) | Beysens, Daniel;Carotenuto, Luigi;van Loon, Jack J.W.A;Zell, Martin |
| Publication | Berlin, Heidelberg, Springer Berlin Heidelberg, 2011. |
| Description | XV, 215 p : online resource |
| Abstract Note | For decades experiments conducted on space stations like MIR and the ISS have been gathering data in many fields of research in the natural sciences, medicine and engineering. The European Union-sponsored ULISSE project focused on exploring the wealth of unique experimental data provided by revealing raw and metadata from these studies via an Internet Portal. This book complements the portal. It serves as a handbook of space experiments and describes the various types of experimental infrastructure areas of research in the life and physical sciences and technology space missions that hosted scientific experiments the types and structures of the data produced and how one can access the data through ULISSE for further research. The book provides an overview of the wealth of space experiment data that can be used for additional research and will inspire academics (e.g. those looking for topics for their PhD thesis) and research departments in companies for their continued development |
| ISBN,Price | 9783642211447 |
| Keyword(s) | 1. Aerospace engineering
2. Aerospace Technology and Astronautics
3. ASTRONAUTICS
4. ASTRONOMY
5. Astronomy, Astrophysics and Cosmology
6. ASTROPHYSICS
7. DATA MINING
8. Data Mining and Knowledge Discovery
9. EARTH SCIENCES
10. Earth Sciences, general
11. EBOOK
12. EBOOK - SPRINGER
13. LIFE SCIENCES
14. Life Sciences, general
15. MEDICINE
16. Medicine/Public Health, general
|
| Item Type | eBook |
Multi-Media Links
Please Click here for eBook
Circulation Data
| Accession# | |
Call# | Status | Issued To | Return Due On | Physical Location |
| I07650 |
|
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On Shelf |
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