Spring 2009 Csc 466: Knowledge Discovery from Data Alexander Dekhtyar Classification Methodology

Cal Poly Csc 466 Knowledge Discovery in Data Web Structure Mining (and Associates)

Overview Terminology: • Link Analysis: analysis of graph structures. • Web Structure Mining: analysis of the web graph. • Social Network Analysis: analysis graphs representing relationships between humans (social networks).

Cal Poly CSC 466 : Knowledge Discovery from Data

• Data mining: the techniques, methods and algorithms for finding patterns in structured data. • Data warehousing: the methods and techniques for managing data and processing complex analytical decision-support queries in databases. • Information Retrieval: the techniques, methods, algorithms and data models for finding information in unstructured (primarily, but not always, textual) data. • Co...

Spring 2009 CSC 466 : Knowledge Discovery from Data

Definitions Information Retrieval (IR). The process of finding documents from a given document collection that are relevant to the user's query. Document collections. The key assumption of IR is that document collections are large. Note: This is not always the case. There are some specialized uses of IR techniques, where the document collections are on the order of tens or hunderds of documents...

Data Mining: Classification/Supervised Learning Potpourri Contents

Knowledge discovery from patients’ behavior via clustering-classification algorithms based on weighted eRFM and CLV model: An empirical study in public health care services

The rapid growing of information technology (IT) motivates and makes competitive advantages in health care industry. Nowadays, many hospitals try to build a successful customer relationship management (CRM) to recognize target and potential patients, increase patient loyalty and satisfaction and finally maximize their profitability. Many hospitals have large data warehouses containing customer ...