Table of Contents

Foreword ix

Preface xi

Contributors xiii

Introduction xv

Chapter 1 A Probabilistic Framework for Mining Distributed Sensory Data Under Data Sharing Constraints Joydeep Ghosh 1

Chapter 2 A General Framework for Mining Massive Data Streams Pedro Domingos Geoff Hulten 9

Chapter 3 A Sensor Network Data Model for the Discovery of Spatio-Temporal Patterns Betsy George James M. Kang Shashi Shekhar 15

Chapter 4 Requirements for Clustering Streaming Sensors Pedro Pereira Rodrigues João Gama Luís Lopes 35

Chapter 5 Principal Component Aggregation for Energy-Efficient Information Extraction in Wireless Sensor Networks Yann-Aël Le Borgne Jean-Michel Dricot Gianluca Bontempi 55

Chapter 6 Anomaly Detection in Transportation Corridors Using Manifold Embedding Amrudin Agovic Arindam Banerjee Auroop R. Ganguly Vladimir Protopopescu 81

Chapter 7 Fusion of Vision Inertial Data for Automatic Georeferencing Duminda I. B. Randeniya Manjriker Gunaratne Sudeep Sarkar 107

Chapter 8 Electricity Load Forecast Using Data Streams Techniques João Gama Pedro Pereira Rodrigues 131

Chapter 9 Missing Event Prediction in Sensor Data Streams Using Kalman Filters Nithya N. Vijayakumar Beth Plale 149

Chapter 10 Mining Temporal Relations in Smart Environment Data Using TempAl Vikramaditya R. Jakkula Diane J. Cook 171

Index 205