Materias: “…Data mining…”

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Materias: “…Mines de carbó Espanya Aspectes militars…”

Materias: “…Data mining…”

Materias: “…Data mining…”

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Tabla de Contenidos: “…Rumor Detection and Tracing its Source to Prevent Cyber-Crimes on Social Media / Ravi Kishore Devarapalli, Anupam Biswas -- Internet of Things (IoT) and Machine to Machine (M2M) Communication Techniques for Cyber Crime Prediction / Jaiprakash Narain Dwivedi -- Crime Predictive Model Using Big Data Analytics / Hemanta Kumar Bhuyan, Subhendu Kumar Pani -- The Role of Remote Sensing and GIS in Military Strategy to Prevent Terror Attacks / Sushobhan Majumdar -- Text Mining for Secure Cyber Space / Supriya Raheja, Geetika Munjal -- Analyses on Artificial Intelligence Framework to Detect Crime Pattern / R Arshath Raja, N Yuvaraj, NV Kousik -- A Biometric Technology-Based Framework for Tackling and Preventing Crimes / Ebrahim AM Alrahawe, Vikas T Humbe, GN Shinde -- Rule-Based Approach for Botnet Behavior Analysis / Supriya Raheja, Geetika Munjal, Jyoti Jangra, Rakesh Garg -- Securing Biometric Framework with Cryptanalysis / Abhishek Goel, Siddharth Gautam, Nitin Tyagi, Nikhil Sharma, Martin Sagayam -- The Role of Big Data Analysis in Increasing the Crime Prediction and Prevention Rates / Galal A AL-Rummana, Abdulrazzaq H A Al-Ahdal, GN Shinde -- Crime Pattern Detection Using Data Mining / Dipalika Das, Maya Nayak -- Attacks and Security Measures in Wireless Sensor Network / Nikhil Sharma, Ila Kaushik, Vikash Kumar Agarwal, Bharat Bhushan, Aditya Khamparia -- Large Sensing Data Flows Using Cryptic Techniques / Hemanta Kumar Bhuyan -- Cyber-Crime Prevention Methodology / Chandra Sekhar Biswal, Subhendu Kumar Pani…”

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Tabla de Contenidos: “…5.2.2.2 Limit and trend checking -- 5.2.2.3 Partial least squares regression -- 5.2.2.4 Bayesian network -- 5.2.2.5 Artificial neural network -- 5.2.2.6 K-means clustering -- 5.2.2.7 Attribute oriented induction -- 5.2.2.8 Hidden Markov model -- 5.3 Remaining Useful Life Identification of Wearing Components -- 5.3.1 Theoretical Background -- 5.3.2 Techniques Catalogue -- 5.3.3 Physical Modelling -- 5.3.3.1 Industrial automation -- 5.3.3.2 Fleet's maintenance -- 5.3.3.3 Eolic systems -- 5.3.3.4 Medical systems -- 5.3.4 Artificial Neural Networks -- 5.3.4.1 Deep neural networks -- 5.3.5 Life Expectancy Models -- 5.3.5.1 Time series analysis with attribute oriented induction -- 5.3.5.2 Application to a pump -- 5.3.5.3 Application to industrial forklifts -- 5.3.5.4 Application to a gearbox -- 5.3.6 Expert Systems -- 5.4 Alerting and Prediction of Failures -- 5.4.1 Theoretical Background -- 5.4.2 Techniques Catalogue -- 5.4.2.1 Nearest neighbour cold-deck imputation -- 5.4.2.2 Support vector machine -- 5.4.2.3 Linear discriminant analysis -- 5.4.2.4 Pattern mining -- 5.4.2.5 Temporal pattern mining -- 5.4.2.6 Principal component analysis -- 5.4.2.7 Hidden Semi-Markov model with Bayes classification -- 5.4.2.8 Autoencoders -- 5.4.2.9 Convolutional neural network with Gramian angular fields -- 5.4.2.10 Recurrent neural network with long-short-term memory -- 5.4.2.11 Change detection algorithm -- 5.4.2.12 Fisher's exact test -- 5.4.2.13 Bonferroni correction -- 5.4.2.14 Hypothesis testing using univariate parametric statistics -- 5.4.2.15 Hypothesis testing using univariate non-parametricstatistics -- 5.4.2.16 Mean, thresholds, normality tests -- 5.5 Examples -- 5.5.1 Usage Patterns/k-means -- 5.5.1.1 Data analysis -- 5.5.1.2 Results -- 5.5.1.2.1 Plotting -- 5.5.1.2.2 Replicability of results -- 5.5.1.2.3 Summary of results…”

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Tabla de Contenidos: “…Statistical and Machine Learning; 1. Mining on Social Networks; 2. Large-Scale Machine Learning with Stochastic Gradient Descent; 3. …”

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