Networks, Data Mining and Artificial Intelligence:Trends and Future Directions
Authors: D. K. Bhattacharyya, S.M. Hazarika
ISBN:
978-81-7319-755-0 Publication Year: 2006
Pages: 240 Binding: Hard Back
About the book
Networks, Data Mining and Artificial Intelligence reflects current research in WSN, Data Clustering & Association Mining and emerging topics in AI. Various routing and security issues in WSN are dealt in Sections I and II. These two sections discuss Congestion control in wireless environment, signal interference between WLAN & LR-WPAN and its avoidance and Quality of service routing in MANETs. Section III covers significant contributions on design of efficient clustering algorithms for categorical and mixed data types. This section includes an exhaustive survey on data clustering techniques. Section IV includes a probabilistic model for off-line handwritten Manipuri character recognition and a method for acquisition of morphological features of Assamese language. A soft computing technique for colour and texture discrimination for the tea industry is also discussed. This section also includes a method for fast computation of Legendre moments.
Key Features
Table
of content
Steps towards Cognitive Vision / Section I: Networks-I / A Survey of Data Centric Routing in Wireless Sensor Networks / A Comparative Study of RTT based Congestion Control Scheme with TCP Check in Wireless Environments / A Power Efficient Multi-zone Data Gathering Protocol for WSNs / Routing Issues in Wireless Sensor Networks / Route Recovery Mechanism for QoS Routing in MANETs / Study of Signal Interference between WLAN and LR-WPAN and its avoidance / Distributed Diagnosis in Arbitrary Networks / Network Security / Section II: Networks-II / Securing Wireless Sensor Networks: Challenges in Different Layers and Possible Solutions / Fault Tolerant Distributed ME Algorithms: A Survey / High Performance Query Processing on Cluster Machines / Bluetooth Security Concepts: An Overview / Providing QoS for Real-Time Multimedia Applications by Bandwidth Adjustment / Data Mining / Section III: Data Mining / An Algorithm for Clustering Large Categorical Data using a Fuzzy Set based Approach / Finding Frequent itemset over High Dimensional Data Using Partitioning FP-Growth / Data Clustering Techniques: A Review / An Entropy based Hierarchical Clustering Algorithm for Categorical and Mixed Type Data / Edge Detection in Image Processing / Section IV: Artificial Intelligence / Off-Line Handwritten Manipuri Character Recognition Using K-L Divergence by Probabilistic Model / Fast Computation of Legendre Moments / Unsupervised Acquisition of Morphological Features of Assamese from an Assamese Text Corpus / A Feature Conjugation based Soft Computing Technique for Colour and Texture Discrimination / Regular Role: A Formal Model of Roles / Introducing XML in Web-Based E-Tendering / Universal Networking Language Representation of Assamese Sentences / A Grid-Based Clustering Scheme Using Density Estimation and its Application in Strategic Planning/ OFDM as Bandwidth Efficient Scheme for Cellular Telephony / RFID in Supply Chain Management / Comparison Study of Various Routing Protocols in Adhoc Network / Author Index.
Audience
Graduate Students, Teachers and Researchers