
Explore Contrastive Hierarchical Clustering techniques and applications in this insightful conference talk by Przemysław Rola from the University of Economics in Krakow.

Explora el análisis computacional de letras flamencas, revelando patrones lingüísticos y culturales únicos en este género musical tradicional español.

Automated safety vetting for PLC code in industrial plants using temporal context-aware program analysis. Generates timed event sequences to detect hidden safety violations in real-world scenarios.

Explore data mining in law enforcement, covering challenges in police data analysis, criminal network analysis, and advanced analytics for crime prevention and resource optimization.

Predicting vulnerability exploitation using data from 10 million hosts. Explores factors influencing hacker decisions and presents models to assess exploitation risk, aiding in cybersecurity and risk management.

Explore network attack traffic and data mining techniques, including statistics, Nmap, Hydra, and crosscorrelation analysis for enhanced cybersecurity understanding.

Explore data mining techniques to refine SQL injection attack detection using CDN logs, NLP, and clustering for improved web security and emerging threat identification.

Explore innovative methods for identifying potential Lyme disease cases through analysis of self-reported tweets, leveraging social media data for public health insights.

Explore attribute-based category mining for dynamic access control policies, transitioning from static approaches in cybersecurity.

Explore knowledge-infused AI for matching support seekers and providers on Reddit. Learn innovative techniques to enhance mental health support through advanced natural language processing.

Advanced Excel techniques for data analysis, including VLOOKUP troubleshooting, INDEX MATCH, PivotTables, array formulas, conditional formatting, and macros. Ideal for users seeking to enhance efficiency and problem-solving skills.

A framework for data science project managers covering team formation, analytical solution processes, and risk management. Focuses on effective project execution rather than specific algorithms.

Overview of variant classification methods in hereditary cancer genes, focusing on TP53. Compares ACMG codes with quantitative models, providing examples of evidence calibration and data mining for gene-specific classification.

Learn to build tools and frameworks for large-scale social media mining, focusing on creating data infrastructure for COVID-19 research using Twitter data. Gain insights on challenges, solutions, and best practices.

Explore techniques to identify and track automated Twitter accounts using data collection, attribute analysis, and machine learning classifiers for large-scale bot detection.

Learn data mining techniques using Python, covering classification, regression, and prediction. Gain practical skills to extract valuable insights from data for business and scientific applications.

Comprehensive tutorial for advanced Excel users covering powerful functions, pivot tables, data analysis techniques, and XLOOKUP. Develop skills to solve complex problems and streamline data processing efficiently.

Explore advanced techniques for analyzing complex multimodal data using coupled matrix and tensor factorizations. Learn about extracting insights from heterogeneous datasets in metabolomics and neuroscience.

Discover how big data and outsourced research are revolutionizing scientific inquiry, challenging traditional methods, and unlocking new possibilities in genomics and medicine.

Explore data mining techniques for many-body systems, from equilibrium to driven states. Learn to analyze complex quantum phenomena and their applications in theoretical physics.

Expert panel discusses strategies for Ph.D. success and post-doctoral career paths in academia, industry, and research labs, offering valuable insights for data mining doctoral students.