| 摘要 | 第1-7页 |
| ABSTRACT | 第7-9页 |
| ACKNOWLEDGMENTS | 第9-10页 |
| DEDICATION | 第10-11页 |
| TABLE OF CONTENTS | 第11-14页 |
| LIST OF TABLES | 第14-15页 |
| LIST OF FIGURES | 第15-17页 |
| LIST OF ALGORITHMS | 第17-18页 |
| Chapter1: INTRODUCTION | 第18-28页 |
| ·Introduction | 第18-28页 |
| ·Location recording methods | 第19-20页 |
| ·Overview of GSM network architecture | 第20-23页 |
| ·Reality mining dataset and context logging | 第23-25页 |
| ·Main contribution and organization of thesis | 第25-28页 |
| Chapter2: RELATED WORK | 第28-36页 |
| ·Location information recording | 第28-30页 |
| ·Location aware applications | 第30-31页 |
| ·Algorithms and techniques used for mobility prediction | 第31-32页 |
| ·Proposed framework | 第32-34页 |
| ·Coordinate extraction through CGI header | 第33页 |
| ·Spatial outliers detection and retrieval of missing values | 第33页 |
| ·Cell oscillation removal | 第33页 |
| ·Extraction of stay points | 第33-34页 |
| ·User profile building and similarity measurement | 第34页 |
| ·Published work and contribution | 第34-36页 |
| Chapter3: PRECISE LOCATION ACQUISITION oF MOBILITYDATA | 第36-54页 |
| ·Issues related to mobility data | 第36-38页 |
| ·Location coordinate retrieval through CGI header | 第36页 |
| ·Open Cell-ID databases | 第36-37页 |
| ·Spatial outliers in data | 第37页 |
| ·Missing values | 第37-38页 |
| ·Proposed methodology towards the issues | 第38-44页 |
| ·Use of Google location API's for coordinate retrieval | 第38-39页 |
| ·Use of semantic tag information | 第39-42页 |
| ·Use of GSM network information for spatial outliers removal | 第42-44页 |
| ·Experiments and results | 第44-52页 |
| ·Importance of semantically tagged locations | 第44-45页 |
| ·Location coordinate retrieval through Google location API | 第45-47页 |
| ·Spatial outliers removal | 第47-52页 |
| ·Chapter conclusion | 第52-54页 |
| Chapter4: CELL OSCILLATION RESOLUTION AND EXTRACTIONOF STAY POINTS | 第54-74页 |
| ·Issues related to cell oscillation phenomena | 第54-58页 |
| ·GSM Cells handovers | 第54-55页 |
| ·Overlapping area | 第55-56页 |
| ·User movement information | 第56-58页 |
| ·Solutions towards the cell oscillation phenomena and place discovery | 第58-66页 |
| ·Cell oscillation resolution | 第59-60页 |
| ·Extraction of stay points | 第60-65页 |
| ·Mobility habit mining | 第65-66页 |
| ·Experiments and results | 第66-71页 |
| ·Time threshold criteria | 第66-67页 |
| ·Significant place appearance | 第67-68页 |
| ·User's visit history analysis over days | 第68-69页 |
| ·User's trajectory analysis over stay points | 第69-70页 |
| ·Stay point extraction comparison with tagged locations | 第70-71页 |
| ·Chapter conclusion | 第71-74页 |
| Chapter5: MOBILITY PROFILE BUILDING AND USERSIMILARITY MEASURE | 第74-96页 |
| ·Issues related to mobilily profiling | 第74-77页 |
| ·Extraction of location information from partial CGI header | 第75-76页 |
| ·Removal of spatial outliers | 第76页 |
| ·Missing values retrieval | 第76页 |
| ·Cell oscillation resolution | 第76-77页 |
| ·Stay points extraction | 第77页 |
| ·Pattern extraction | 第77页 |
| ·Pattern matching and user's similarity measure | 第77页 |
| ·Proposed methodology for mobility profiling | 第77-87页 |
| ·Location coordinate extraction,outlier removal and missing values retrieval | 第78页 |
| ·Cell oscillation resolution and extraction of stay points | 第78-79页 |
| ·Actual mobility profile building | 第79-87页 |
| ·Sub-sequence clustering in mobility data | 第82-83页 |
| ·Time stamping or fingerprinting | 第83-84页 |
| ·Mobility pattern extraction thorough potential stay points | 第84页 |
| ·Similarity measurement | 第84-87页 |
| ·Dataset | 第87页 |
| ·Experiments and results | 第87-93页 |
| ·Location coordinate extraction,spatial outlier removal and missing valuesretrieval | 第87-88页 |
| ·Importance of semantic tags | 第88-89页 |
| ·Cell oscillation resolution and discovery of stay points | 第89-90页 |
| ·Discovery of mobility patterns | 第90-91页 |
| ·User similarity measurement | 第91-93页 |
| ·Chapter conclusion | 第93-96页 |
| CONCLUSION | 第96-100页 |
| ·Milestones achieved | 第96-97页 |
| ·Future work directions | 第97-98页 |
| ·Closing remarks | 第98-100页 |
| REFERENCES | 第100-108页 |
| LIST OF PUBLICATIONS | 第108页 |
