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Clustering Challenges In Biological Networks

This volume presents a collection of papers dealing with various aspects of clustering in biological networks and other related problems;

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Organic Computing

in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system;

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Organic Computing

in this new field. Biological metaphors include evolution, neural networks, gene-regulatory networks, networks of brain modules, hormone system;

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Analysis of Biological Networks

An introduction to biological networks and methods for their analysis Analysis of Biological Networks is the first book of its kind to;

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Data Clustering

of data, such as categorical data, text data, multimedia data, graph data, biological data, stream data, uncertain data, time series clustering;

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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 blockmo;...

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Spectral Clustering And Biclustering

graphs or rectangular arrays. Classical and modern statistical methods applicable to biological, social, communication networks, or microarrays;

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Integrative Cluster Analysis in Bioinformatics

Clustering techniques are increasingly being put to use in the analysis of high-throughput biological datasets. Novel computational;

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Improved Scheduling Algorithm Using Dynamic Tree Construction for Wireless Sensor Networks

The Wireless Sensor Network (WSN) composed of several nodes is used for different types of monitorin;...

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Recent Advances in Biological Network Analysis

discuss the advantages of the respective techniques and present the current challenges and open problems in the field. Recent Advances;

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Fundamentals of Complex Networks

Complex networks such as the Internet, WWW, transportation networks, power grids, biological neural networks, and scientific cooperation;

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Data Mining for Bioinformatics

proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining;

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Data Mining for Bioinformatics

proteomics. It begins by describing the evolution of bioinformatics and highlighting the challenges that can be addressed using data mining;

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Advances in Pervasive Computing and Networking

the reach of current technology. Yet, to realize the full potential of such environments, many technical and economical challenges needs to be;

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Mobile, Wireless and Sensor Networks

Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless;

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Mobile, Wireless and Sensor Networks

Wireless networking covers a variety of topics involving many challenges. The main concern of clustering approaches for mobile wireless;

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Brain and Nature-Inspired Learning, Computation and Recognition

, machine learning and compression, algorithms and applications inspired by the brain and biological mechanisms found in nature. Sections cover new;

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Clustering and Routing Algorithms for Wireless Sensor Networks

Wireless Sensor Networks have a wide range of applications in different areas. Their main constraint;...

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Evolutionary Algorithms and Neural Networks

challenges that have to be addressed when training artificial neural networks using evolutionary algorithms are discussed in detail. The book also;

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Biological Computation

The area of biologically inspired computing, or biological computation, involves the development of new, biologically based techniques for;

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Adaptive Resonance Theory in Social Media Data Clustering

can discover from such big data: Basic knowledge (data & challenges) on social media analytics Clustering as a fundamental technique for;

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Dis;...

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Evolutionary Machine Learning Techniques

This book provides an in-depth analysis of the current evolutionary machine learning techniques. Dis;...

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Machine Intelligence: Recent Advances

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

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Intelligent Data Engineering and Automated Learning - IDEAL 2016

; probabilistic modeling; particle swarm intelligence; big data analysis; applications in regression, classification, clustering, medical and biological;

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Analysis of Microarray Data: A Network-Based Approach

This book is the first to focus on the application of mathematical networks for analyzing microarray;...

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Systems Biology

and the mechanism of biological networks such as gene regulation, protein interactions, signalling, and metabolic pathways; (ii) system;

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