About ISoft … What is Decision Tree? Alice Process … Conclusions Outline.

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Presentation transcript:

About ISoft … What is Decision Tree? Alice Process … Conclusions Outline

ISoft offers a full consulting services in the Decision Support field, with the powerful Data Mining tool ALICE d'ISoft aimed at the business user. ALICE helps the business user to build Decision Tree in his data, and to extract new models, validated by his own knowledge, from these trends. ALICE is a Interactive Exploratory System to find Classification from Data by using of Machine Learning(Decision Tree). About Isoft...

What is Decision Tree? A Decision Tree is a flow-chart-like tree structure, where each internal node denotes a test on an attribute, each branch represents an outcome of the test, and leaf nodes represent classes or class distributions. The topmost node in a tree is the root node.

What is Decision Tree? Generate a decision tree from the given training data. Input: The training samples Output: A decision tree. create a node N; if samples are all of the same class, C then return N as a leaf node labeled with the class C; if attribute-list is empty then return N as a leaf node labeled with the most common class in samples; select test-attribute, the attribute among attribute-list with the highest information gain; label node N with test-attribute; for each known value a i of test-attribute grow a branch from node N for the condition test-attribute= a i ; let s i be the set of samples in samples for which test-attribute= a i ; if s i is empty then attach a leaf labeled with the most common class in samples; else attach the node returned by Generate decision tree(s i, attribute-list - test-attribute);

Alice Process... Data Source Data Preparation Decision Tree Graphics Plugins Model Exploitation

Alice Process...

The aim of Data Mining is to find out the answer to a question, from the data you’ve collected. As your data is the source of the whole process, its preparation is crucial for the relevance of the answer. For example, an interesting variable for the study might not exist, but can be calculated from other available variables.

Alice Process...

Conclusions Powerful and easy to use No requirement for advanced computing or statistics background User-friendly Interface Useful for many different activities BUT No Multi-variables Decision Tree Short of Tree Pruning Method No Rules Generation MONEY NEEDED :( Even for Evaluation Demo...