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This book offers researchers an understanding of the fundamental issues and a good starting point to work on this rapidly expanding field. It provides a comprehensive survey of current developments of heterogeneous information network. It also presents the newest research in applications of heterogeneous information networks to similarity search, ranking, clustering, recommendation. This information will help researchers to understand how to analyze networked data with heterogeneous information networks. Common data mining tasks are explored, including similarity search, ranking, and recommendation. The book illustrates some prototypes which analyze networked data. Professionals and academics working in data analytics, networks, machine learning, and data mining will find this content valuable. It is also suitable for advanced-level students in computer science who are interested in networking or pattern recognition. .

Computer science. --- Computer communication systems. --- Data mining. --- Artificial intelligence. --- Pattern recognition. --- Electrical engineering. --- Computer Science. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Pattern Recognition. --- Communications Engineering, Networks. --- Computer Communication Networks. --- Computer networks. --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Electronic data processing --- Network computers --- Database searching --- Distributed processing --- Optical pattern recognition. --- Telecommunication. --- Artificial Intelligence. --- Electric communication --- Mass communication --- Telecom --- Telecommunication industry --- Telecommunications --- Communication --- Information theory --- Telecommuting --- Optical data processing --- Pattern perception --- Perceptrons --- Visual discrimination --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Electric engineering --- Engineering --- Design perception --- Pattern recognition --- Form perception --- Perception --- Figure-ground perception

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Computer science --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- Computer. Automation --- IR (information retrieval) --- vormgeving --- informatica --- simulaties --- database management --- KI (kunstmatige intelligentie) --- robots

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Advances in hardware technology have increased the capability to store and record personal data about consumers and individuals. This has caused concerns that personal data may be used for a variety of intrusive or malicious purposes. Privacy Preserving Data Mining: Models and Algorithms proposes a number of techniques to perform the data mining tasks in a privacy-preserving way. These techniques generally fall into the following categories: data modification techniques, cryptographic methods and protocols for data sharing, statistical techniques for disclosure and inference control, query auditing methods, randomization and perturbation-based techniques. This edited volume also contains surveys by distinguished researchers in the privacy field. Each survey includes the key research content as well as future research directions of a particular topic in privacy. Privacy Preserving Data Mining: Models and Algorithms is designed for researchers, professors, and advanced-level students in computer science. This book is also suitable for practitioners in industry. .

Data mining. --- Computer security. --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Protection of computer systems --- Security of computer systems --- Data protection --- Security systems --- Hacking --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Protection --- Security measures --- Data encryption (Computer science). --- Database management. --- Information storage and retrieva. --- Systems and Data Security. --- Data Mining and Knowledge Discovery. --- Cryptology. --- Database Management. --- Information Storage and Retrieval. --- Information Systems Applications (incl. Internet). --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Data encoding (Computer science) --- Encryption of data (Computer science) --- Computer security --- Cryptography --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information storage and retrieval. --- Application software. --- Application computer programs --- Application computer software --- Applications software --- Apps (Computer software) --- Computer software

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Many networked computer systems are far too vulnerable to cyber attacks that can inhibit their functioning, corrupt important data, or expose private information. Not surprisingly, the field of cyber-based systems turns out to be a fertile ground where many tasks can be formulated as learning problems and approached in terms of machine learning algorithms. This book contains original materials by leading researchers in the area and covers applications of different machine learning methods in the security, privacy, and reliability issues of cyber space. It enables readers to discover what types of learning methods are at their disposal, summarizing the state of the practice in this important area, and giving a classification of existing work. Specific features include the following: A survey of various approaches using machine learning/data mining techniques to enhance the traditional security mechanisms of databases A discussion of detection of SQL Injection attacks and anomaly detection for defending against insider threats An approach to detecting anomalies in a graph-based representation of the data collected during the monitoring of cyber and other infrastructures An empirical study of seven online-learning methods on the task of detecting malicious executables A novel network intrusion detection framework for mining and detecting sequential intrusion patterns A solution for extending the capabilities of existing systems while simultaneously maintaining the stability of the current systems An image encryption algorithm based on a chaotic cellular neural network to deal with information security and assurance An overview of data privacy research, examining the achievements, challenges and opportunities while pinpointing individual research efforts on the grand map of data privacy protection An algorithm based on secure multiparty computation primitives to compute the nearest neighbors of records in horizontally distributed data An approach for assessing the reliability of SOA-based systems using AI reasoning techniques The models, properties, and applications of context-aware Web services, including an ontology-based context model to enable formal description and acquisition of contextual information pertaining to service requestors and services Those working in the field of cyber-based systems, including industrial managers, researchers, engineers, and graduate and senior undergraduate students will find this an indispensable guide in creating systems resistant to and tolerant of cyber attacks.

Algorithms. --- Computer security. --- Cyberterrorism -- Prevention. --- Machine learning. --- Cyberterrorism --- Prevention. --- Learning, Machine --- Attacks on computers --- Computer attacks --- Cyber attacks --- Cyber terrorism --- Cyber war --- Cyberwarfare --- Computer privacy --- Computer system security --- Computer systems --- Computers --- Cyber security --- Cybersecurity --- Electronic digital computers --- Security of computer systems --- Security measures --- Protection of computer systems --- Protection --- Computer science. --- Data mining. --- Artificial intelligence. --- Computer Science. --- Systems and Data Security. --- Data Mining and Knowledge Discovery. --- Artificial Intelligence (incl. Robotics). --- Data protection --- Security systems --- Hacking --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Electronic data processing --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data --- Database searching --- Informatics --- Science --- Artificial intelligence --- Computer crimes --- Terrorism --- Artificial Intelligence.

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Computer science --- Computer architecture. Operating systems --- Information systems --- Computer. Automation --- ICT (informatie- en communicatietechnieken) --- IR (information retrieval) --- DES (data encryption standard) --- data mining --- informatica --- informatiesystemen --- database management --- computerbeveiliging