Discover published sets by community

Explore tens of thousands of sets crafted by our community.

Categories

Computer Science

Data Mining

Association Rule Learning

Anomaly Detection Methods

Big Data Technologies

Clustering Algorithms

Classification Algorithms

Data Dimensionality Reduction Techniques

Data Mining Project Lifecycle

Data Mining Success Metrics

Data Mining Techniques

Data Mining and Customer Relationship Management (CRM)

Data Mining for Fraud Detection

Data Mining in Finance

Data Quality Issues

Data Mining in Retail

Data Mining in Healthcare

Data Mining Research Topics

Data Mining Tools and Software

Data Mining Skill Set

Data Mining Case Studies

Data Preprocessing Techniques

Data Mining Challenges

Ensuring Data Privacy in Data Mining

Ethical Aspects of Data Mining

Frequent Pattern Mining Algorithms

Machine Learning vs Data Mining

Mining Complex Data Types

Multimedia Data Mining

Predictive Analytics Fundamentals

Time Series Analysis in Data Mining

Web Mining Methods

Social Media Data Mining

Spatial Data Mining

Text Mining Techniques

Ensuring Data Privacy in Data Mining

Flashcards

0/6

Still learning

California Consumer Privacy Act (CCPA)

The CCPA is a state statute intended to enhance privacy rights and consumer protection for residents of California, United States. In terms of data mining, it grants consumers new rights with respect to the collection of their personal information and obligates businesses to protect and secure this information.

General Data Protection Regulation (GDPR)

The GDPR is a regulation in EU law on data protection and privacy in the European Union and the European Economic Area. It also addresses the transfer of personal data outside the EU and EEA. In data mining, it applies by requiring explicit consent from individuals for their data to be mined and ensuring that personal data is processed transparently and securely.

Health Insurance Portability and Accountability Act (HIPAA)

HIPAA is a US legislation that provides data privacy and security provisions for safeguarding medical information. In data mining, HIPAA compliance ensures that any mined health-related data is securely protected and shared without compromising patient privacy.

Anonymization

Anonymization is the process of removing personally identifiable information from data sets, so that the people whom the data describe remain anonymous. This is crucial in data mining as it allows for the analysis of datasets without compromising individual privacy.

Differential Privacy

Differential Privacy is a system for publicly sharing information about a dataset by describing the patterns of groups within the dataset while withholding information about individuals in the dataset. It is used in data mining to enable privacy-preserving data analysis.

K-anonymity

K-anonymity is a property that ensures that data within a dataset are indistinguishable from at least k-1 other data entries. In data mining, it prevents de-anonymization by ensuring that no unique characteristics can be traced back to a single individual when data is grouped.

Know

Still learning

Click to flip

Know