Big Data in Complex Systems: Challenges and Opportunities (Studies in Big Data (9))

This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other℗ℓ foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate℗ℓ students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible Front Matter....Pages 1-8 Cloud Computing Infrastructure for Massive Data: A Gigantic Task Ahead....Pages 1-28 Big Data Movement: A Challenge in Data Processing....Pages 29-69 Towards Robust Performance Guarantees for Models Learned from High-Dimensional Data....Pages 71-104 Stream Clustering Algorithms: A Primer....Pages 105-145 Cross Language Duplicate Record Detection in Big Data....Pages 147-171 A Novel Hybridized Rough Set and Improved Harmony Search Based Feature Selection for Protein Sequence Classification....Pages 173-204 Autonomic Discovery of News Evolvement in Twitter....Pages 205-229 Hybrid Tolerance Rough Set Based Intelligent Approaches for Social Tagging Systems....Pages 231-261 Exploitation of Healthcare Databases in Anesthesiology and Surgical Care for Comparing Comorbidity Indexes in Cholecystectomized Patients....Pages 263-292 Sickness Absence and Record Linkage Using Primary Healthcare, Hospital and Occupational Databases....Pages 293-322 Classification of ECG Cardiac Arrhythmias Using Bijective Soft Set....Pages 323-350 Semantic Geographic Space: From Big Data to Ecosystems of Data....Pages 351-374 Big DNA Methylation Data Analysis and Visualizing in a Common Form of Breast Cancer....Pages 375-392 Data Quality, Analytics, and Privacy in Big Data....Pages 393-418 Search, Analysis and Visual Comparison of Massive and Heterogeneous Data....Pages 419-444 Modified Soft Rough Set Based ECG Signal Classification for Cardiac Arrhythmias....Pages 445-470 Towards a New Architecture for the Description and Manipulation of Large Distributed Data....Pages 471-497 Back Matter....Pages 499-499 This volume provides challenges and Opportunities with updated, in-depth material on the application of Big data to complex systems in order to find solutions for the challenges and problems facing big data sets applications. Much data today is not natively in structured format; for example, tweets and blogs are weakly structured pieces of text, while images and video are structured for storage and display, but not for semantic content and search. Therefore transforming such content into a structured format for later analysis is a major challenge. Data analysis, organization, retrieval, and modeling are other℗l foundational challenges treated in this book. The material of this book will be useful for researchers and practitioners in the field of big data as well as advanced undergraduate and graduate℗l students. Each of the 17 chapters in the book opens with a chapter abstract and key terms list. The chapters are organized along the lines of problem description, related works, and analysis of the results and comparisons are provided whenever feasible