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Security Infrastructure Technology for Integrated Utilization of Big Data
Applied to the Living Safety and Medical Fields...
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Handbook of Vascular Biometrics
...
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Multilevel Modelling for Public Health and Health Services Research
Health in Context...
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Interpretable Machine Learning
A Guide for Making Black Box Models Explainable...
View Book →Data Analytics Using Excel Microsoft 365
First published in 2021...
View Book →Housing Affordability
First published in 2023...
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Advanced Statistical Methods For The Analysis Of Large Datasets
First published in 2012...
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Large-Scale Cognitive Assessment
Analyzing PIAAC Data...
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Cloud-Based Benchmarking of Medical Image Analysis
...
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Enforcing Label and Intensity Consistency for IR Target Detection
This study formulates the IR target detection as a binary classification problem of each pixel. Each pixel is associated with a label which indicates whether it is a target or background pixel. The op...
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NASA Technical Reports Server (NTRS) 20150003494: The I4 Online Query Tool for Earth Observations Da
The NASA Earth Observation System Data and Information System (EOSDIS) delivers an average of 22 terabytes per day of data collected by orbital and airborne sensor systems to end users through an inte...
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Extraction of association rules in a diabetic dataset using parallel FP-growth algorithm under apach
This research paper focuses on enhancing the frequent pattern growth (FP-growth) algorithm, an advanced version of the Apriori algorithm, by employing a parallelization approach using the Apache Spark...
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Modern Mainframe Development
COBOL, Databases, and Next-Generation Approaches...
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Fundamentals of Clinical Data Science
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View Book →Mastering Large Datasets with Python
First published in 2020...
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Compressive PCA for Low-Rank Matrices on Graphs
We introduce a novel framework for an approxi- mate recovery of data matrices which are low-rank on graphs, from sampled measurements. The rows and columns of such matrices belong to the span of the f...
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What Is Data Science?
The future belongs to the companies and people that turn data into products...
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The enigma of GCIRS 3 - Constraining the properties of the mid-infrared reference star of the centra
GCIRS3 is the most prominent MIR source in the central pc of the Galaxy. NIR spectroscopy failed to solve the enigma of its nature. The properties of extreme individual objects of the central stellar ...
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Artificial Intelligence in Medical Imaging
Opportunities, Applications and Risks...
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Learning Neo4j
Run blazingly fast queries on complex graph datasets with the power of the Neo4j graph database...
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Data Information Literacy
Librarians, Data, and the Education of a New Generation of Researchers...
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Library and Information Sciences
Trends and Research...
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Algorithms and Data Structures for Massive Datasets
First published in 2022...
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Towards Interoperable Research Infrastructures for Environmental and Earth Sciences
A Reference Model Guided Approach for Common Challenges...
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Automated Machine Learning
Methods, Systems, Challenges...
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Single-field inflation constraints from CMB and SDSS data
We present constraints on canonical single-field inflation derived from WMAP five year, ACBAR, QUAD, BICEP data combined with the halo power spectrum from SDSS LRG7. Models with a non-scale-invariant ...
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Dataset shift in machine learning
First published in 2008...
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Estimates of unresolved point sources contribution to WMAP 5
We present an alternative estimate of the unresolved point source contribution to the WMAP temperature power spectrum based on current knowledge of sources from radio surveys in the 1.4-90 GHz range. ...
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map_group01
Statements and datasets map, designed by students of the DensityDesign studio course at Politecnico di Milano...
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Real-time Linked Dataspaces
Enabling Data Ecosystems for Intelligent Systems...
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Introduction to Data Science
Data Analysis and Prediction Algorithms with R...
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New Horizons for a Data-Driven Economy
A Roadmap for Usage and Exploitation of Big Data in Europe...
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ContactTrees: A Technique for Studying Personal Network Data
Network visualization allows a quick glance at how nodes (or actors) are connected by edges (or ties). A conventional network diagram of "contact tree" maps out a root and branches that represent the ...
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DTIC ADA619207: Real-Time Calculation of System-Level Complexity During Trauma/Hemorrhage: Can We Do
Objectives: We previously showed that sample entropy (SampEn), and other nonlinear measures of the complexity of the ECG time series, decrease in response to hypovolemia and/or injury. These measures ...
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Programming Computer Vision with Python
Tools and algorithms for analyzing images...
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Managing Datasets and Models
First published in 2023...
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Performance evaluation of multiclass classification models for ToN-IoT network device datasets
Internet of things (IoT) technology has empowered tangible objects to establish internet connections, facilitating data exchange with computational capabilities. With significant potential across sect...
View Book →Compression Schemes for Mining Large Datasets
First published in 2013...
View Book →New Action-Based Dataset of Fiscal Consolidation
First published in 2011...
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Evaluating the performance of TAG-IT for prediabetes detection in Indonesian population
Early detection of prediabetes plays a critical role in preventing type 2 diabetes mellitus (T2DM), especially within primary care, where access to laboratory testing may be constrained. Non-laborator...
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A large scale study of SVM based methods for abstract screening in systematic reviews
A major task in systematic reviews is abstract screening, i.e., excluding, often hundreds or thousand of, irrelevant citations returned from a database search based on titles and abstracts. Thus, a sy...
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Graph Algorithms
Practical Examples in Apache Spark and Neo4j...
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Dreaming More Data: Class-dependent Distributions over Diffeomorphisms for Learned Data Augmentation
Data augmentation is a key element in training high-dimensional models. In this approach, one synthesizes new observations by applying pre-specified transformations to the original training data; e.g....
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Semantic Systems. The Power of AI and Knowledge Graphs
15th International Conference, SEMANTiCS 2019, Karlsruhe, Germany, September 9–12, 2019, Proceedings...
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Mining of massive datasets
First published in 2012...
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Decoding the HPV-Positive HNSCC Paradox: Suppression of Oncogenic Drivers and Inflammatory Signallin
Head and neck squamous cell carcinoma (HNSCC) is a significant global health concern. Though tobacco, alcohol, and betel quid have been previously recognized as the main risk factors for a long time, ...
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Data-Driven Policy Impact Evaluation
How Access to Microdata is Transforming Policy Design...
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Commission report
Commission report under Article 12(3) of Regulation (EU) 2019/631 on the evolution of the real-world CO2 emissions gap for passenger cars and light commercial vehicles and containing the anonymised an...
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Understanding Complex Datasets
First published in 2007...
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Assessment of Climate Change over the Indian Region
A Report of the Ministry of Earth Sciences (MoES), Government of India...
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The Ramachandran number: an order parameter for protein geometry
Three-dimensional protein structures usually contain regions of local order, called secondary structure, such as $\alpha$-helices and $\beta$-sheets. Secondary structure is characterized by the local ...
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Designing Event-Driven Systems
Concepts and Patterns for Streaming Services with Apache Kafka...
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Non-Convex Boosting Overcomes Random Label Noise
The sensitivity of Adaboost to random label noise is a well-studied problem. LogitBoost, BrownBoost and RobustBoost are boosting algorithms claimed to be less sensitive to noise than AdaBoost. We pres...
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Datasets used in this study
Available on Internet Archive....
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Computational Conflict Research
...
View Book →Dataset password protection
First published in 1979...
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