CONTENT

1. Data Mining Concepts

• Introduction
• Data-mining roots
• Data-mining process
• Large data sets
• Data warehouses
• Organization of this book

2. Preparing the Data

• Representation of raw data
• Characteristics of raw data
• Transformation of raw data
• Missing data
• Time-dependent data
• Outlier analysis

3. Data Reduction

• Dimensions of large data sets
• Features reduction
• Entropy measure for ranking features
• Principal component analysis
• Values reduction
• Feature discretization: ChiMerge technique
• Cases reduction

4. Learning from Data

• Learning machine
• Statistical learning theory
• Types of learning methods
• Common learning tasks
• Model estimation

5. Statistical Methods

• Statistical inference
• Assessing differences in data sets
• Bayesian inference
• Predictive regression
• Analysis of variance
• Logistic regression
• Log-linear models
• Linear discriminant analysis

6. Cluster Analysis

• Clustering concepts
• Similarity measures
• Agglomerative hierarchical clustering
• Partitional clustering
• Incremental clustering

7. Decision Trees and Decision Rules

• Decision trees
• Algorithm: generating a decision tree
• Unknown attribute values
• Pruning decision tree
• Algorithm: generating decision rules
• Limitations of decision trees and decision rules
• Associative-classification method

8. Association Rules

• Market-Basket Analysis
• Algorithm Apriori
• From frequent itemsets to association rules
• Improving the efficiency of the Apriori algorithm
• Frequent pattern-growth method
• Multidimensional association-rules mining
• Web mining
• HITS and LOGSOM algorithms
• Mining path-traversal patterns
• Text mining

9. Artificial Neural Networks

• Model of an artificial neuron
• Architectures of artificial neural networks
• Learning process
• Learning tasks
• Multilayer perceptrons
• Competitive networks and competitive learning

10. Genetic Algorithms

• Fundamentals of genetic algorithms
• Optimization using genetic algorithms
• A simple illustration of a genetic algorithm
• Schemata
• Traveling salesman problem
• Machine learning using genetic algorithms

11. Fuzzy Sets and Fuzzy Logic

• Fuzzy sets
• Fuzzy set operations
• principle and fuzzy relations
• Fuzzy logic and fuzzy inference systems
• Multifactorial evaluation
• Extracting fuzzy models from data

12. Visualization Methods

• Perception and visualization
• Scientific visualization and information visualization
• Parallel coordinates
• Radial visualization
• Kohonen self-organized maps
• Visualization systems for data mining

FACILITIES

1. Satu PC multimedia dengan LCD monitor untuk satu peserta
2. Modul materi dalam bentuk cetak hardcover dan CD
3. Certificate of course completion
4. Bebas akses Internet kecepatan tinggi
5. Training kit
6. Makan siang dan snack dua kali

INSTRUCTOR

Romi Satria Wahono. Lahir di Madiun, 2 Oktober 1974. Menyelesaikan pendidikan dasar dan menengah di SD Negeri Sompok 4 dan SMP Negeri 8 Semarang. Menamatkan SMA di SMA Taruna Nusantara, Magelang pada tahun 1993. Menempuh pendidikan S1, S2, dan S3 (on-leave) di Department of Computer Science di Saitama University, Jepang pada tahun 1999, 2001, dan 2004. Cisco certified instructor lulusan Nanyang Technological University (NTU), Singapore, dan menjadi instruktur tetap di LIPI Cisco Regional Academy (RA) dan beberapa Cisco Regional/Local Academy lain. Kompetensi inti pada bidang Software Engineering, eLearning System, dan Knowledge Management.

Hendro Subagyo. Menyelesaikan program S1 (B.Eng) dan S2 (M.Eng) pada jurusan Ilmu Komputer dan Informasi Matematik di The University of Electro-Communications, Tokyo, Jepang pada tahun 1999 dan 2001. Saat ini sedang menyelesaikan program S3 (PhD) pada jurusan dan universitas yang sama. Peneliti di Pusat Dokumentasi Informasi Ilmiah (PDII), Lembaga Ilmu Pengetahuan (LIPI). Memiliki minat pada sistem operasi, pemrograman dan bahasa pemrograman (khususnya Java dan Real-Time Java) dan komputer aritmatika. Cisco Certified Instructor pada Cisco Regional Academy Centre for Scientific Documentation and Information-LIPI.

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