Data Mining :Concepts and Techniques

الرياض / السعودية
آخر تحديث: 2024-02-21

عن بعد/اونلاين حاسب الي | Computer تقنية معلومات | Information Technology برمجة | Programming قواعد بيانات | Database

تعليم قواعد واساسيات التنقيب علي البيانات Data mining concepts and techniques وهي جزء من علوم البيانات Data science

what is data mining and types of data

Chapter 2: Getting to Know Your Data

Data Objects and Attribute Types

Basic Statistical Descriptions of Data

Data Visualization

Measuring Data Similarity and Dissimilarity

Chapter 3:Data Quality: Why Preprocess the Data

Measures for data quality: A multidimensional view

Accuracy: correct or wrong, accurate or not

Completeness: not recorded, unavailable, …

Consistency: some modified but some not, dangling, …

Timeliness: timely update?

Believability: how trustable the data are correct?

Interpretability: how easily the data can be understood

Chapter 4: Data Warehousing and On-line Analytical Processing

Data Warehouse: Basic Concepts

Data Warehouse Modeling: Data Cube and OLAP

Data Warehouse Design and Usage

Data Warehouse Implementation

Data Generalization by Attribute-Oriented Induction

Chapter 5: Data Cube Technology

Data Cube Computation: Preliminary Concepts

Data Cube Computation Methods

Processing Advanced Queries by Exploring Data Cube Technology

Multidimensional Data Analysis in Cube Space

Chapter 5: Mining Frequent Patterns, Association and Correlations: Basic Concepts and Methods

Basic Concepts

Frequent Itemset Mining Methods

Which Patterns Are Interesting?—Pattern Evaluation Methods

Chapter 7 : Advanced Frequent Pattern Mining

Pattern Mining: A Road Map

Pattern Mining in Multi-Level, Multi-Dimensional Space

Constraint-Based Frequent Pattern Mining

Mining High-Dimensional Data and Colossal Patterns

Mining Compressed or Approximate Patterns

Pattern Exploration and Application

Chapter 8. Classification: Basic Concepts

Classification: Basic Concepts

Decision Tree Induction

Bayes Classification Methods

Rule-Based Classification

Model Evaluation and Selection

Techniques to Improve Classification Accuracy: Ensemble Methods

Chapter 10. Cluster Analysis: Basic Concepts and Methods

Cluster Analysis: Basic Concepts

Partitioning Methods

Hierarchical Methods

Density-Based Methods

Grid-Based Methods

Evaluation of Clustering

Chapter 12. Outlier Analysis

Outlier and Outlier Analysis

Outlier Detection Methods

Statistical Approaches

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marwasultan

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تدريس اكاديمي خاص لمدة سنة

معيدة في معهد الحاسبات والمعلومات بمصر لمدة سنة

مطورة نظم برمجيات لمدة 3 سنوات.

ملحوظة **لا اقوم بحل اختبارات او واجبات **

**فضلا التواصل مع الطالبات فقط Women only**

ماجستير علوم حاسب ونظم معلومات جامعه حلوان

بكالوريوس حاسبات ومعلومات قسم نظم معلومات جامعه عين شمس بتقدير امتياز مع مرتبة الشرف

حاصله علي دبلوم Data analysis من مبادرة مليون مبرمج عربي
نشر عدد 3 ابحاث علمية

حاصل علي درجة نانو nano degree في Android mobile application using kotlen

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