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A Hybrid Knowledge Based-Clustering Multi-Class SVM Approach for Genes Expression Analysis

An Overview of Data Warehouse, OLAP and Data Mining Technology

Case Based Reasoning and the Search for Knowledge

Data Clustering: User’s Dilemma

Identifying Regulatory Sites Using Neighborhood Species

Introduction

Introduction

Mining Ambiguous Data with Multi-instance Multi-label Representation

Part Introduction

Peer-to-Peer Data Mining, Privacy Issues, and Games

Research Frontiers in Advanced Data Mining Technologies and Applications

Sample Nodes

Toward Rough-Granular Computing

<Emphasis Type="Italic">DELAY</Emphasis>: A Lazy Approach for Mining Frequent Patterns over High Speed Data Streams

On Concentration of Discrete Distributions with Applications to Supervised Learning of Classifiers

Choosing the Right Lens: Finding What is Interesting in Data Mining

Information Retrieval and Web Search

Introduction

Finding the Real Patterns

Class Noise vs Attribute Noise: Their Impacts, Detection and Cleansing

Definition

Multi-modal and Multi-granular Learning

The Knowledge Discovery Process

Genetic Programming and Other Machine Learning Approaches to Predict Median Oral Lethal Dose (LD<Subscript>50</Subscript>) and Plasma Protein Binding Levels (%PPB) of Drugs

Hierarchical Density-Based Clustering of Categorical Data and a Simplification

Ontos Solutions for Semantic Web: Text Mining, Navigation and Analytics

Data Clustering Algorithms for Information Systems

Exploring Content and Linkage Structures for Searching Relevant Web Pages

Frequent and Closed Sequence Patterns

Predicting the Short-Term Market Reaction to Asset Specific News: Is Time Against Us?

Subsets More Representative Than Random Ones

Comparison of a Novel Combined ECOC Strategy with Different Multiclass Algorithms Together with Parameter Optimization Methods

Preparation

Concepts for Novelty Detection and Handling Based on a Case-Based Reasoning Process Scheme

CLBCRA-Approach for Combination of Content-Based and Link-Based Ranking in Web Search

Multi-represented Classification Based on Confidence Estimation

Hypothesis Testing with Classifier Systems for Rule-Based Risk Prediction

A Graph-based Clustering Approach to Evaluate Interestingness Measures: A Tool and a Comparative Study

From Parallel Data Mining to Grid-Enabled Distributed Knowledge Discovery

Network and System Security

Data

Robust Agent Communities

Multi-source Data Modelling: Integrating Related Data to Improve Model Performance

An Efficient Algorithm for Instance-Based Learning on Data Streams

Robust Peak Detection and Alignment of nanoLC-FT Mass Spectrometry Data

Rough Sets in Hybrid Soft Computing Systems

Selecting a Reduced Set for Building Sparse Support Vector Regression in the Primal

Tables and Graphs

A New Algorithm for Attribute Reduction in Decision Tables

Towards Human-Consistent Data-Driven Decision Support Systems via Fuzzy Linguistic Data Summaries

Intrusion Detection Systems

Discovering Novel Multistage Attack Strategies

WI Based Multi-aspect Data Analysis in a Brain Informatics Portal

Algebraic Properties of Adjunction-Based Fuzzy Rough Sets

An Empirical Comparison of Ideal and Empirical ROC-Based Reject Rules

Classification, Clustering, Features and Distances of Sequence Data

Hyperlink‐Based Ranking

Mining Frequent Itemsets from Uncertain Data

One-Versus-One and One-Versus-All Multiclass SVM-RFE for Gene Selection in Cancer Classification

Concepts of Learning, Classification, and Regression

Softening the Margin in Discrete SVM

Association Rule Interestingness Measures: Experimental and Theoretical Studies

Statistics

Explore Nodes

Fuzzy Approximation Operators Based on Coverings

Moving Approximation Transform and Local Trend Associations in Time Series Data Bases

Privacy Preserving DBSCAN Algorithm for Clustering

Understanding Signal Sequences with Machine Learning

Data Mining for Intrusion Detection

Part Introduction

QC4 - A Clustering Evaluation Method

Agent-Mining Interaction: An Emerging Area

Clustering

Outlier Detection with Kernel Density Functions

Feature Selection Using Ant Colony Optimization (ACO): A New Method and Comparative Study in the Application of Face Recognition System

Information-Theoretic Measure of Uncertainty in Generalized Fuzzy Rough Sets

Sequence Motifs: Identifying and Characterizing Sequence Families

Targeting Differentially Co-regulated Genes by Multiobjective and Multimodal Optimization

A New Multi-level Algorithm Based on Particle Swarm Optimization for Bisecting Graph

Data Modeling and Data Warehousing Techniques to Improve Intrusion Detection

Knowledge Representation

Determining Significance of Attributes in the Unified Rough Set Approach

Semantic Feature Selection for Object Discovery in High-Resolution Remote Sensing Imagery

Evaluating Knowledge Intensive Multi-agent Systems

Generic Probability Density Function Reconstruction for Randomization in Privacy-Preserving Data Mining

On the Discovery of Exception Rules: A Survey

Outlier Detection with Streaming Dyadic Decomposition

Modeling Genetic Networks: Comparison of Static and Dynamic Models

A Rough-Hybrid Approach to Software Defect Classification

A Supervised Subspace Learning Algorithm: Supervised Neighborhood Preserving Embedding

Minds: Architecture & Design

Deriving Private Information from Arbitrarily Projected Data

Perception Based Patterns in Time Series Data Mining

CommonKADS Methodology for Developing Power Grid Switching Orders Systems

Vaguely Quantified Rough Sets

Towards an Ant System for Autonomous Agents

A <Emphasis Type="Italic">k</Emphasis>-Anonymity Clustering Method for Effective Data Privacy Preservation

Evaluating Clustering

Mining Partial Orders from Sequences

A Genetic Embedded Approach for Gene Selection and Classification of Microarray Data