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Data mining

Data mining is the process of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning, statistics, and database systems. Data mining is an interdisciplinary subfield of computer science and statistics with an overall goal of extracting information (with intelligent methods) from a data set and…

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Overview

Etymology

Background

Process

Research

Standards

Notable uses

Privacy concerns and ethics

Situation in the United States

Software

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Map overview Semantic statistics

Data mining

Nodes195
Edges194
Triples230
Avg. degree1.99
Density0.010256
Components1

How this topic connects Entity context

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Data mining

Top relations

has application · 64
Data mining → Amazon, Amazon SageMaker, An, Angoss KnowledgeSTUDIO, Carrot2, Chemicalize, Data, DATADVANCE, ELKI, GATE, Genetic Programming, GNU Project, Google, Google Cloud Platform, Hewlett-Packard, IBM, Intelligent OptimizatioN, It, Java, KNIME
related to Situation in the United States · 25
Data mining → AAHC, According, Accountability Act, America, As, Biotech Business Week, Family Educational Rights, FERPA, For, Google Book, Google's, Health Insurance Portability, HIPAA, In, Israel, More, Privacy Act, South Korea, Taiwan, The
see also · 25
Data mining → Agent, Analytics, Approach, Categorization, Centralized, Competitive, Computational, Computer, Data, Decision, Discovery, Extremely, Grouping, Information, Method, Paradigm, Pharmaceutical, Probabilistic, Process, Research
related to Etymology · 16
Data mining → AI, Currently, Database Mining Workstation, Economic Studies, For, Gregory Piatetsky-Shapiro, HNC, However, In, KDD-1989, Lovell, Michael Lovell, Other, Review, San Diego, The
related to Standards · 14
Data mining → As, CRISP-DM, Data Mining Group, Development, DMG, European Cross-Industry Standard Process, For, However, Java Data Mining, JDM, PMML, Predictive Model Markup Language, There, XML-based
related to Data mining · 12
Data mining → Anomaly, Association, Classification, Clustering, Data, For, Regression, Searches, Summarization, The, This, Using
related to Research · 12
Data mining → ACM, ACM SIG, Association, Computer, Computing Machinery's, Knowledge Discovery, SIG, SIGKDD, SIGKDD Explorations, Since, Special Interest Group, The
related to Situation in Europe · 11
Data mining → As, Edward Snowden's, Europe, European, However, In, National Security Agency, Safe Harbor Principles, These, United Kingdom, United States
related to Results validation · 10
Data mining → Data, For, It, Not, Once, ROC, Several, The, This, To
related to background · 6
Data mining → As, Bayes, Data, Early, It, The

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Important terminology

data mining patterns learning analysis machine information used set methods software process privacy knowledge also discovery use database statistical language

Entity relationships Subject–Predicate–Object triples

SubjectPredicateObjectConfidenceSrc
Data miningis aprocess of extracting and finding patterns in massive data sets involving methods at the intersection of machine learning0.90text
Data miningis ainterdisciplinary subfield of computer science and statistics with an overall goal of extracting information0.90text
Data miningis aanalysis step of the0.90text
Data miningis aprocess of applying these methods with the intention of uncovering hidden patterns. in large data sets0.90text
groups of data recordsinstance ofinteresting patterns0.80text
spatial indicesinstance ofThis usually involves using database techniques0.80text
the ICDE Conferenceinstance ofACM SIGKDD Conference on Knowledge Discovery and Data MiningData mining topics are also present in many data management/database conferences0.80text
SIGMOD Conferenceinstance ofACM SIGKDD Conference on Knowledge Discovery and Data MiningData mining topics are also present in many data management/database conferences0.80text
International Conference on Very Large Data Basesinstance ofACM SIGKDD Conference on Knowledge Discovery and Data MiningData mining topics are also present in many data management/database conferences0.80text
the Health Insurance Portabilityinstance ofprivacy concerns have been addressed by the US Congress via the passage of regulatory controls0.80text
Accountability Actinstance ofprivacy concerns have been addressed by the US Congress via the passage of regulatory controls0.80text
HIPAAinstance ofThis underscores the necessity for data anonymity in data aggregation and mining practices.U.S. information privacy legislation0.80text

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