Advances in Intelligent Data Analysis IX: 9th International Symposium, IDA 2010, Tucson, AZ, USA, May 19-21, 2010, Proceedings (Lecture Notes in ... Applications, incl. Internet Web, and HCI)

Background......Page 1
Reviewing......Page 2
Where Next?......Page 4
Graph Identification......Page 6
Introduction......Page 8
Sensible Bounds on Computability......Page 9
Sensible Bounds on Information......Page 10
 Conflict in Animal Society......Page 11
Unintelligent Agents in an Intelligent Economy......Page 12
Authenticating Art with Visual Priors......Page 14
Conclusions......Page 15
Introduction......Page 18
Nonlinear Dynamical Systems......Page 19
Nonlinear Time Series Analysis......Page 20
A Microkernel Experiment......Page 21
Reconstructing the Dynamics......Page 22
Implications for Analysis......Page 23
Assumptions Verified by Experiment......Page 24
Assumptions Verified by Theory......Page 25
Multiple Attractors......Page 27
Conclusions......Page 28
Introduction......Page 30
Sequential Pattern Mining under Constraints......Page 31
Related Work......Page 32
Overview......Page 33
Linguistic Constraints......Page 34
Algorithm......Page 35
Properties of Recursive Pattern Mining......Page 36
Training Dataset......Page 37
Recursive Sequential Pattern Mining......Page 38
Detection of Gene Interactions......Page 39
Conclusion and Future Work......Page 40
Introduction......Page 42
Related Work......Page 43
Gathering Data......Page 44
Integrating Seismically Derived and Citizen Reported Earthquake Information......Page 45
Preliminary Hazard Detection......Page 46
Difficulties and Issues......Page 47
Results and Evaluation......Page 48
Future Work......Page 51
Conclusions......Page 52
References......Page 53
Introduction......Page 54
Leukaemia......Page 55
Previous Work......Page 56
Otsu......Page 57
Detecting Coordinates......Page 58
Heuristic Search......Page 59
Colour Image Clustering......Page 62
Comparison Random/Seeded Hill Climbing and Simulated Annealing......Page 63
References......Page 65
Introduction......Page 67
Background......Page 68
Related Work......Page 69
Method......Page 71
Results......Page 72
Conclusions......Page 77
Introduction......Page 79
Biological Background......Page 80
Problem Formalization......Page 81
The Seemingly Obvious Statistical Model and a Monte Carlo Test......Page 82
A Modified Approach......Page 83
A Bayesian Maximum Likelihood Approach......Page 85
Results......Page 88
Conclusions......Page 89
Introduction......Page 91
Monitoring Infrastructure......Page 92
Data Management......Page 93
The Hollandse Brug......Page 94
Data Analysis......Page 96
First Experiments......Page 98
Education Opportunities......Page 100
Conclusion......Page 101
Introduction......Page 103
Recording Epileptogenesis......Page 104
EEG Analysis......Page 106
Deterministic Finite Automata (DFA)......Page 107
Results......Page 110
Conclusions......Page 111
Introduction......Page 114
Related Work......Page 115
Bipartite Graphs......Page 116
Experiment Using a Benchmark Dataset......Page 118
First Case Study - Portuguese Activity Sectors......Page 119
Second Case Study - Portuguese Regional Development Index......Page 121
Conclusions......Page 122
Introduction......Page 125
Data Centers......Page 126
Methods......Page 128
Motif Discovery......Page 129
DBN Structure Learning......Page 130
State Transition Modeling......Page 131
Graphical Model......Page 132
State Transitions......Page 134
Conclusions and Future Work......Page 135
Introduction......Page 137
Molecular Descriptors and Data......Page 138
Self-Organising Maps......Page 139
Artificial Neural Networks......Page 140
Results......Page 142
Conclusions......Page 144
References......Page 145
Introduction......Page 147
fMRI Image Processing......Page 149
Coordinate Estimation......Page 151
Activation Region Analysis......Page 153
Self Organization......Page 155
Image Clustering......Page 156
Concluding Remarks......Page 157
Introduction......Page 159
The Hamming Distance Kernel......Page 161
Proposed Approach......Page 162
Similarity Kernels for Nearest Neighbor-Based Outlier Detection......Page 163
Kernel Similarity Scores......Page 164
The Data Sets......Page 166
The Similarity Kernels......Page 167
Conclusions......Page 168
Introduction......Page 171
Cosmogenic Isotope Dating......Page 173
ACE: Design and Architecture......Page 174
Reasoning Process......Page 176
Weighing Arguments......Page 178
Presenting Conclusions......Page 179
Results......Page 180
References......Page 182
Introduction......Page 184
Article Structure......Page 185
Data Description......Page 186
Spatial vs. Non-spatial Data Treatment......Page 187
Regression Techniques and Error Estimation......Page 189
Results for F440......Page 190
Results for F611......Page 192
Future Work......Page 193
Introduction......Page 196
Bisociation and BisoNets......Page 198
Data Access and Pre-processing......Page 199
Creating Nodes......Page 200
Cosine and Tanimoto Measures......Page 201
The Bison Measure......Page 202
The Probabilistic Measure......Page 203
The Swanson Benchmark......Page 204
Conclusion and Further Work......Page 206
Introduction......Page 208
Dimensionality Reduction with PCA, CCA, and Random Projection......Page 210
Novelty Detection in Projected Spaces......Page 211
Experiments and Results......Page 212
Data Preprocessing......Page 213
Novelty Detection Results......Page 214
Summary and Conclusions......Page 217
Introduction......Page 220
Definitions......Page 221
Monotone Path Quality Functions......Page 222
Example Instances of the Framework......Page 223
Variations......Page 224
Outlines of Algorithms......Page 225
Related Work......Page 226
Results......Page 227
Conclusion......Page 230
Introduction......Page 232
Data Collection – A Multimodal Sensing System......Page 234
Coding of Multimodal Data......Page 235
Knowledge Discover and Data Mining......Page 237
Visual Data Mining System......Page 238
Information-Theoretic Measures......Page 240
Interactive Data Mining......Page 242
References......Page 243
Introduction......Page 245
Background on Rock Art......Page 247
Distance Measures for Line Drawings......Page 248
A Simple Image-Based Stickman CAPTCHA......Page 249
A CAPTCHA-ROCK System Helping Extract Data from Petroglyphs......Page 251
Quantitative Evaluation of CAPTCHA-ROCK System......Page 252
Supporting Similarity Search......Page 253
References......Page 256