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Wireless Communications : Algorithmic Techniques.
Published 2012Full text (MFA users only)
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Frontiers in Massive Data Analysis.
Published 2013Table of Contents: “…FrontMatter -- Acknowledgments -- Contents -- Summary -- 1 Introduction -- 2 Massive Data in Science, Technology, Commerce, National Defense, Telecommunications, and Other Endeavors -- 3 Scaling the Infrastructure for Data Management -- 4 Temporal Data and Real-Time Algorithms -- 5 Large-Scale Data Representations -- 6 Resources, Trade-offs, and Limitations -- 7 Building Models from Massive Data -- 8 Sampling and Massive Data -- 9 Human Interaction with Data -- 10 The Seven Computational Giants of Massive Data Analysis -- 11 Conclusions -- Appendixes…”
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Data mining with decision trees : theory and applications
Published 2008Table of Contents: “…Introduction to Decision Trees; 1.1 Data Mining and Knowledge Discovery; 1.2 Taxonomy of Data Mining Methods; 1.3 Supervised Methods; 1.3.1 Overview; 1.4 Classification Trees; 1.5 Characteristics of Classification Trees; 1.5.1 Tree Size; 1.5.2 The hierarchical nature of decision trees; 1.6 Relation to Rule Induction; 2. …”
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Fuzzy System and Data Mining : Proceedings of FSDM 2015.
Published 2016Table of Contents: “…Chlorophyll-a Concentration in Water: A Semi-Analytical Retrieval Model Research with a BP NetworkGrid-Connected PV Power Station's Harmonic Current Detection Based on Adaptive Neural Networks; Research on the Method of Generalized Regression Neural Network Based Optimization via Simulation; Deep Learning Algorithm and Applications in Location Big Data Mining; Data Mining in Fault Diagnosis for Substation Based on Kohonen and BP Network; Efficient Differential Evolution Based on Evolutional Information Matrix.…”
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Radar data processing with applications
Published 2016Table of Contents: “…Parameter Estimation -- Linear Filtering Approaches -- Nonlinear Filtering Approaches -- Measurement Preprocessing Techniques -- Track Initiation in Multi-target Tracking -- Maximum Likelihood Class Multi-target Data Association Methods -- Bayesian Multi-target Data Association Approach -- Tracking Maneuvering Targets -- Group Target Tracking -- Multi-target Track Termination Theory and Track Management -- Passive Radar Data Processing -- Pulse Doppler Radar Data Processing -- Phased Array Radar Data Processing -- Radar Network Error Registration Algorithm -- Radar Network Data Processing -- Evaluation of Radar Data Processing Performance -- Radar Data Processing Simulation Technology -- Practical Application of Radar Data Processing -- Review, Suggestions, and Outlook.…”
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Pattern discovery in biomolecular data : tools, techniques, and applications
Published 1999Table of Contents: “…Discovering patterns in DNA sequences by the algorithmic significance method / Aleksandar Milosavljevic -- Assembling blocks / Jorja G. …”
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230
Haskell data analysis cookbook : explore intuitive data analysis techniques and powerful machine learning methods using over 130 practical recipes
Published 2014Table of Contents: “…Computing the Euclidean distanceComparing scaled data using the Pearson correlation coefficient; Comparing sparse data using cosine similarity; Chapter 3: The Science of Words; Introduction; Displaying a number in another base; Reading a number from another base; Searching for a substring using Data.ByteString; Searching a string using the Boyer-Moore-Horspool algorithm; Searching a string using the Rabin-Karp algorithm; Splitting a string on lines, words, or arbitrary tokens; Finding the longest common subsequence; Computing a phonetic code; Computing the edit distance…”
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DataFlow supercomputing essentials : research, development and education
Published 2017Full text (MFA users only)
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Modern Big Data Architectures : A Multi-Agent Systems Perspective.
Published 2020Table of Contents: “…3.2 Scientific Data -- 3.3 Industrial Data -- 3.4 Internet of Things -- CHAPTER 4: Big Data Tasks -- 4.1 Recommender Systems -- 4.2 Search -- 4.3 Ad-tech and RTB Algorithms -- 4.4 Cross-Device Graph Generation -- 4.5 Forecasting and Prediction Systems -- 4.6 Social Media Big Data -- 4.7 Anomaly and Fraud Detection -- 4.8 New Drug Discovery -- 4.9 Smart Grid Control and Monitoring -- 4.10 IoT and Big Data Applications -- CHAPTER 5: Cloud Computing -- 5.1 Cloud Enabled Architectures -- 5.2 Agents and the Cloud -- CHAPTER 6: Big Data Architectures -- 6.1 Big Data Computation Models…”
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Medical data privacy handbook
Published 2015Table of Contents: “…Introduction to Medical Privacy -- A survey of anonymization algorithms for electronic health records -- Differentially Private Histogram and Synthetic Data Publication -- Evaluating the Utility of Differential Privacy -- SECRETA -- Putting Statistical Disclosure Control into Practice -- Utility-constrained Electronic Health Record Data Publishing Through Generalization and Disassociation -- Methods to Mitigate Risk of Composition Attack in Independent Data Publications -- Statistical Disclosure Limitation for Health Data -- A Review of Privacy Preserving Mechanisms for Record Linkage -- Application of Privacy Preserving Techniques in Operational Record Linkage Centres -- Privacy Considerations for Health Information Exchanges -- Managing Access Control in Collaborative Processes for Healthcare Applications -- Automating Consent Management Lifecycle for Electronic Healthcare Systems -- e-Health Cloud -- Preserving Genome Privacy in Research Studies -- Private Genome Data Dissemination -- Threats and Solutions for Genomic Data Privacy -- Medical Image Security -- Privacy Considerations and Techniques for Neuroimages -- Data Privacy Issues with RFID in Healthcare -- Privacy Preserving Classification of ECG Signals in Mobile e-Health Applications -- Strengthening Privacy in Healthcare Social Networks -- Privacy Law, Data Sharing Policies, and Medical Data -- HIPAA and Human Error -- De-identification of Unstructured Clinical Data for Patient Privacy Protection -- Challenges in Synthesizing Surrogate PHI in Narrative EMRs -- Building on Principles -- Epilogue.…”
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Analyzing Time Interval Data : Introducing an Information System for Time Interval Data Analysis.
Published 2016Table of Contents: “…7.1.1 Data Repository7.1.2 Cache & Storage; 7.2 Configuration; 7.2.1 Model Configuration; 7.2.2 System Configuration; 7.3 Data Structures & Algorithms; 7.3.1 Model Handling; 7.3.2 Indexes; 7.3.3 Caching & Storage; 7.3.4 Aggregation Techniques; 7.3.5 Distance Calculation; 7.4 User Interfaces; 7.5 Summary; 8 Results & Evaluation; 8.1 Requirements & Features; 8.2 Performance; 8.2.1 High Performance Collections; 8.2.2 Load Performance; 8.2.4 Distance Performance; 8.2.5 Proprietary Solutions vs. …”
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Big data analytics and intelligence : a perspective for health care
Published 2020Table of Contents: “…Israrul Haque -- Chapter 3: Use of Classification Algorithms in Healthcare / Hera Khan, Ayush Srivastav and Amit Kumar Mishra -- Chapter 4: Big Data Analytics in Excelling Health Care: Achievement and Challenges in India / Arindam Chakrabarty and Uday Sankar Das -- Chapter 5: Predictive Big Data Analytics in Healthcare / Shivinder Nijjer, Kumar Saurabh and Sahil Raj -- Chapter 6: Smart Nursery with Health Monitoring System through Integration of IoT and Machine Learning; Rashbir Singh, Prateek Singh and Latika Kharb -- Chapter 7: Computer-aided big healthcare data (BHD) analytics / Tawseef Ayoub Shaikh and Rashid Ali -- Chapter 8: Intrusion Detection and Security System / Prerna Sharma and Deepali Kamthania -- Chapter 9: Decision making with BI in Healthcare domain / Bhawna Suri, Shweta Taneja and Hemanpreet Singh Kalsi -- Chapter 10: Assistance for Facial Palsy using Quantitative Technology / Gulpreet Kaur Chadha, Seema Rawat and Praveen Kumar -- Chapter 11: Constructive Effect of Ranking Optimal Features using Random Forest, Support Vector Machine and Naïve Bayes for Breast Cancer Diagnosis / B.G. …”
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Predictive analytics and data mining : concepts and practice with RapidMiner
Published 2014Table of Contents: “…-- Acknowledgments -- Chapter 1 -Introduction -- 1.1 WHAT DATA MINING IS -- 1.2 WHAT DATA MINING IS NOT -- 1.3 THE CASE FOR DATA MINING -- 1.4 TYPES OF DATA MINING -- 1.5 DATA MINING ALGORITHMS -- 1.6 ROADMAP FOR UPCOMING CHAPTERS -- REFERENCES -- Chapter 2 -- Data Mining Process -- 2.1 PRIOR KNOWLEDGE -- 2.2 DATA PREPARATION -- 2.3 MODELING -- 2.4 APPLICATION -- 2.5 KNOWLEDGE…”
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IoT, Cloud and Data Science.
Published 2023Table of Contents: “…IoT, Cloud and Data Science -- Preface -- Table of Contents -- Chapter 1: Machine Learning to Image Processing and Computer Vision -- Hand Gesture Recognition Used for Functioning System Using OpenCV -- Sign Language Detection Application Using CNN -- SIGN BOT Extending an Ability to Communicate by Creating an Indian Sign Language -- Replicare: Real-Time Human Arms Movement Replication by a Humanoid Torso -- Brain Tumor Detection Using Deep Learning -- Music Recommendation System Using Facial Emotions -- Face Mask Detection Using OpenCV -- Crack Detection of Pharmaceutical Vials Using Agglomerative Clustering Technique -- Obstacle Detection and Text Recognition for Assisting Visually Impaired People -- Recognition of American Sign Language with Study of Facial Expression for Emotion Analysis -- Recognition of Plant Leaf Diseases Using CNN -- Face Mask and Social Distancing Detection Using Faster Regional Convolutional Neural Network -- Sign Language Detection Using Action Recognition -- Brain Tumor Segmentation Using Modified Double U-Net Architecture -- Surveillance Image Super Resolution Using SR -- Generative Adversarial Network -- Classification of Covid-19 X-Ray Images Using Fuzzy Gabor Filter and DCNN -- Using Transfer Learning for Automatic Detection of Covid-19 from Chest X-Ray Images -- Detect Anomalies on Metal Surface -- Indian License Plate and Vehicle Type Recognition -- Proposed Music Mapping Algorithm Based on Human Emotions -- Detection of Bike Riders with no Helmet -- Classification of Retinal Images Using Self-Created Penta-Convolutional Neural Network -- Weather Image Classification Using Convolution Neural Network -- Facial Landmark and Mask Detection System -- Candidate Prioritization Using Automated Behavioural Interview with Deep Learning -- Book Recommendation Based on Emotion in the Online Library Using CNN…”
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Data management in the semantic web
Published 2011Table of Contents: “…DATA MANAGEMENT IN THE SEMANTIC WEB ; DATA MANAGEMENT IN THE SEMANTIC WEB ; CONTENTS ; PREFACE ; INTERPRETATIONS OF THE WEB OF DATA; Abstract; 1. …”
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Data Mining for Business Analytics : Concepts, Techniques, and Applications with XLMiner.
Published 2016Table of Contents: “…Intro -- Title Page -- Copyright -- Dedication -- Foreword -- Preface to the Third Edition -- Preface to the First Edition -- Acknowledgments -- Part I: Preliminaries -- Chapter 1: Introduction -- 1.1 What is Business Analytics? -- 1.2 What is Data Mining? -- 1.3 Data Mining and Related Terms -- 1.4 Big Data -- 1.5 Data Science -- 1.6 Why are There so Many Different Methods? …”
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Biomedical signal analysis : contemporary methods and applications
Published 2010Table of Contents: “…Foundations of medical imaging and signal recording -- Spectral transformations -- Information theory and principal component analysis -- Independent component analysis and blind source separation -- Dependent component analysis -- Pattern recognition techniques -- Fuzzy clustering and genetic algorithms -- Exploratory data analysis methods for fMRI -- Low-frequency functional connectivity in fMRI -- Classification of dynamic breast MR image data -- Dynamic cerebral contrast-enhanced perfusion MRI -- Skin lesion classification -- Microscopic slice image processing and automatic labeling -- NMR water artifact removal.…”
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