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Advances in Network Clustering and Blockmodeling

Provides an overview of the developments and advances in the field of network clustering and blockmodeling over the last 10 years This;

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Structural Analysis in the Social Sciences

mathematical foundations and then generalizes blockmodeling for the analysis of many types of network structures. Examples are used throughout the text;

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Recent Advances in Biological Network Analysis

This book reviews recent advances in the emerging field of computational network biology with special emphasis on comparative network;

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Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances;

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Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 10234 and 10235, constitutes the thoroughly refereed proceedings of the 21st Pacific-Asia Conference on Advances;

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Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances;

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Advances in Knowledge Discovery and Data Mining

This two-volume set, LNAI 9651 and 9652, constitutes the thoroughly refereed proceedings of the 20th Pacific-Asia Conference on Advances;

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Clustering

This is the first book to take a truly comprehensive look at clustering. It begins with an introduction to cluster analysis and goes on to;

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Constrained Clustering

Since the initial work on constrained clustering, there have been numerous advances in methods, applications, and our understanding of the;

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Advances in Data Science

produced today, and to improve prediction. Special kinds of data (symbolic, network, complex, compositional) are increasingly frequent in data;

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Machine Intelligence: Recent Advances

Reflects current research in natural language processing, data mining, networks and network security, robotics, image processing and;

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Clustering and Neural Network Approaches for General NN-Simulator

This book is based on the basis that clustering and neural networks methods. The clustering algorithms (k-means, and k-medoids) are;

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Advances in Neural Networks - ISNN 2018

many topics of neural network-related research including intelligent control, neurodynamic analysis, bio-signal, bioinformatics and biomedical;

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Improved Clustering Model in Wireless Sensor Network

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Advances in K-means Clustering

important tasks such as network intrusion detection and credit fraud prediction. The thesis on which this book is based has won the 2010 National;

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Recent Advances in Hybrid Metaheuristics for Data Clustering

academics in computer science, mathematics, and engineering, Recent Advances in Hybrid Metaheuristics for Data Clustering provides a text that;

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Advances in Neural Networks - ISNN 2016

cover many topics of neural network-related research including signal and image processing; dynamical behaviors of recurrent neural networks;

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Secure Clustering in Multi-Modal Wireless Sensor Networks

Hierarchical clustering (SecHC) and Virtual ECC Group Key (VEGK) as SecHC update. In addition, we believe that merging the security with clustering;

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Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks

algorithm based on Distance and Residual Energy for Wireless Sensor Networks (DECSA) which describes scheduling based on distance and energy, and;

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Fuzzy Information & Engineering and Operations Research & Management

of Operation Research Society of China (FIEBORSC2012, Shenzhen,China). It is published by Advances in Intelligent and Soft Computing (AISC). We have;

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Computational Social Networks

reviewed and selected from 101 submissions and cover topics on social information diffusion; network clustering and community structure; social;

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Clustering

mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches-spectral, modularity and uniform;

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Clustering

mathematics of data recovery, and includes a new chapter covering more recent popular network clustering approaches-spectral, modularity and uniform;

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Location-Clustering Techniques for Wlan Location Estimation Systems

provides two algorithms, namely, Joint Clustering and Incremental Triangulation, and describe their tradeoffs between computational cost and;

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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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Network Algorithms, Data Mining, and Applications

. Contributions in this book focus on the development of network algorithms for data mining and its applications. Researchers and students in mathematics;

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Oracle Solaris and Veritas Cluster : An Easy-build Guide

to implement a cluster on your desktop or laptop devices using virtualized network, host, and storage configuration. This book explains both;

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