Data Mining and Knowledge Discovery Handbook
Knowledge Discovery demonstrates intelligent computing at its best, and is the most desirable and interesting end-product of Information Technology. To be able to discover and to extract knowledge from data is a task that many researchers and practitioners are endeavoring to accomplish. There is a l...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Boston, MA :
Springer US,
2010.
|
| Έκδοση: | 2. |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- to Knowledge Discovery and Data Mining
- Preprocessing Methods
- Data Cleansing: A Prelude to Knowledge Discovery
- Handling Missing Attribute Values
- Geometric Methods for Feature Extraction and Dimensional Reduction - A Guided Tour
- Dimension Reduction and Feature Selection
- Discretization Methods
- Outlier Detection
- Supervised Methods
- Supervised Learning
- Classification Trees
- Bayesian Networks
- Data Mining within a Regression Framework
- Support Vector Machines
- Rule Induction
- Unsupervised Methods
- A survey of Clustering Algorithms
- Association Rules
- Frequent Set Mining
- Constraint-based Data Mining
- Link Analysis
- Soft Computing Methods
- A Review of Evolutionary Algorithms for Data Mining
- A Review of Reinforcement Learning Methods
- Neural Networks For Data Mining
- Granular Computing and Rough Sets - An Incremental Development
- Pattern Clustering Using a Swarm Intelligence Approach
- Using Fuzzy Logic in Data Mining
- Supporting Methods
- Statistical Methods for Data Mining
- Logics for Data Mining
- Wavelet Methods in Data Mining
- Fractal Mining - Self Similarity-based Clustering and its Applications
- Visual Analysis of Sequences Using Fractal Geometry
- Interestingness Measures - On Determining What Is Interesting
- Quality Assessment Approaches in Data Mining
- Data Mining Model Comparison
- Data Mining Query Languages
- Advanced Methods
- Mining Multi-label Data
- Privacy in Data Mining
- Meta-Learning - Concepts and Techniques
- Bias vs Variance Decomposition for Regression and Classification
- Mining with Rare Cases
- Data Stream Mining
- Mining Concept-Drifting Data Streams
- Mining High-Dimensional Data
- Text Mining and Information Extraction
- Spatial Data Mining
- Spatio-temporal clustering
- Data Mining for Imbalanced Datasets: An Overview
- Relational Data Mining
- Web Mining
- A Review of Web Document Clustering Approaches
- Causal Discovery
- Ensemble Methods in Supervised Learning
- Data Mining using Decomposition Methods
- Information Fusion - Methods and Aggregation Operators
- Parallel and Grid-Based Data Mining – Algorithms, Models and Systems for High-Performance KDD
- Collaborative Data Mining
- Organizational Data Mining
- Mining Time Series Data
- Applications
- Multimedia Data Mining
- Data Mining in Medicine
- Learning Information Patterns in Biological Databases - Stochastic Data Mining
- Data Mining for Financial Applications
- Data Mining for Intrusion Detection
- Data Mining for CRM
- Data Mining for Target Marketing
- NHECD - Nano Health and Environmental Commented Database
- Software
- Commercial Data Mining Software
- Weka-A Machine Learning Workbench for Data Mining.
