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WebMind 浏览器

WebMind浏览器是WSI实验室开发的个性化的浏览器。该浏览器集成了意图预测与推荐和心理预测模型，模型的主要功能是通过分析您最近会话内的浏览动作来预测您的信息需求以及心理状态，并根据此意图和心理来生成推荐信息。点击右上角的两个图片分别可以获取当前你的心理状态以及系统为您生成的推荐页面。欢迎使用，点击此处下载，点击此处下载使用指南，如有问题请联系：webmind.wsi@gmail.com

WebIC --- An Effective Complete-Web Recommender System

WebIC is an IE-Based browser which is expected to predict IC-Pages for web users ... can also be used for annotation ...

Association Rule(Apriori)

This is my implementation of Apriori in:

R. Agrawal, R. Srikant, Fast Algorithms for Mining Association Rules, Proc. of the 20th Int'l Conference on Very Large Databases, Santiago, Chile, Sept. 1994. Expanded version available as IBM Research Report RJ9839, June 1994.

Sequential Pattern(WAP)

This is my implementation of:

J. Pei, J. Han, B. Mortazavi-Asl, and H. Zhu `` Mining Access Patterns Efficiently from Web Logs (PDF), Proc. 2000 Pacific-Asia Conf. on Knowledge Discovery and Data Mining (PAKDD'00), Kyoto, Japan, April 2000.

DMTalker

DMTalker is a software for Mandarin sentence prosodic rules mining and Text-To-Speech, and it is implemented on Borland C++Builder 3.0.

The pitch models which are now being used in Mandarin Text-To-Speech are extracted by linguistics experts, and they are described qualitatively and with low precise. To acquire more accurate prosodic rules, data mining is employed to extract pitch models from actual speech, and the result is encouraging. The preprocessing of the prosodic rules data mining includes text analysis, time-wrapping, moving average, and normalization, and typical pitch series have been extracted by clustering analysis on the preprocessed pitch arrays for discretion. Decision tree(C4.5) and neural network have been used for extracting pitch variation patterns from preprocessed train data.