MindMap Gallery Data mining principles and algorithms
This is a mind map about the principles and algorithms of data mining, including the knowledge discovery process and application structure: the basic process of knowledge discovery, the knowledge discovery processing process model in the database; association rule mining theory and algorithm.
Edited at 2022-12-12 15:09:59Avatar 3 centers on the Sully family, showcasing the internal rift caused by the sacrifice of their eldest son, and their alliance with other tribes on Pandora against the external conflict of the Ashbringers, who adhere to the philosophy of fire and are allied with humans. It explores the grand themes of family, faith, and survival.
This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
Avatar 3 centers on the Sully family, showcasing the internal rift caused by the sacrifice of their eldest son, and their alliance with other tribes on Pandora against the external conflict of the Ashbringers, who adhere to the philosophy of fire and are allied with humans. It explores the grand themes of family, faith, and survival.
This article discusses the Easter eggs and homages in Zootopia 2 that you may have discovered. The main content includes: character and archetype Easter eggs, cinematic universe crossover Easter eggs, animal ecology and behavior references, symbol and metaphor Easter eggs, social satire and brand allusions, and emotional storylines and sequel foreshadowing.
[Zootopia Character Relationship Chart] The idealistic rabbit police officer Judy and the cynical fox conman Nick form a charmingly contrasting duo, rising from street hustlers to become Zootopia police officers!
Data mining principles and algorithms
Knowledge discovery process and application structure
Basic process of knowledge discovery
KDD processing process
Functionality of the problem definition phase
Functions of the data extraction phase
Functions of the data preprocessing stage
Functions of the data mining phase
Functions of the knowledge assessment phase
Key points of data cleaning and preprocessing techniques
Data preprocessing methods
Data cleaning
data transformation
Data induction
Commonly used methods to repair incomplete data
Use a global value to populate
Count all non-null values of the attribute and fill in the blanks with the average value
Fill only with the average value of properties of similar objects
Use regression or tools to predict the most likely value and use it to populate
Noisy data
Refers to those deviant data that are obviously illogical
Noise elimination method
Use the binning method to examine the values of surrounding corresponding attributes for local data smoothing
Use clustering technology to detect outliers and correct them
Detect and correct noisy data using regression functions
Knowledge discovery process model in database
step process model
Spiral processing process model
User-centered processing model
Online KDD model
KDD processing model that supports multiple data sources and multiple knowledge models
Association rule mining theory and algorithm
Basic concepts and solutions
frequent item set
Find all frequent itemsets through the minimum support given by the user
Strong association rules
In each maximum frequent item set, look for association rules whose Confidence (confidence) is not less than MinConfidence
Performance bottleneck problem of Apriori algorithm
Scanning the transaction database multiple times requires a lot of overhead
May generate a huge candidate set
Data mining knowledge system
The emergence and development of data mining technology
New challenging technologies and methods
High capacity
high speed gathering
Various types
great value
concept
Data mining research development trends
Smooth integration of data mining technology and specific business logic
The adaptability of data mining technology to specific data storage types
Selection and standardization issues of large data
Data mining system architecture and interactive mining technology
Data mining languages and system visualization issues
Data mining theory and algorithm research
data mining concepts
from a business perspective
The relationship between KDD and Data Mining
KDD is regarded as a special case of data mining
Data mining is a step in the KDD process
KDD has the same meaning as Data Mining
Data mining theoretical framework
pattern discovery architecture
Rule discovery architecture
Based on probability and statistical theory
microeconomic perspective
Based on data compression theory
Based on inductive database theory
Visual data mining
Commonly used knowledge representation models and methods in data mining
General knowledge mining
conceptual description method
Characteristic description
Distinctive description
Multidimensional data analysis
Multi-level concept description problem
Relevant knowledge mining
Class knowledge mining
Classification
decision tree
Bayesian classification
Neural Networks
Genetic Algorithm and Evolution Theory
Learning by analogy
other
clustering
Partition-based clustering methods
hierarchical-based clustering methods
Density-based clustering methods
Model-based clustering methods
Grid-based clustering method
Predictive knowledge mining
trend prediction mode
cycle analysis mode
sequence mode
Neural Networks
Specific knowledge mining
Outlier analysis
Sequence anomaly analysis
Unique rule discovery