搜索资源列表
Classifier4J
- Classifier4J这个Java类库为文本自动分类提供了一个API。缺省（目前）实现的API是一个贝叶斯分类器。这个类库可以用于多个目的－可能作为一个垃圾邮件过滤器或一个blog-Classifier4J Java class library for the automatic text classification provided an API. Default (current) to achieve the API is a Bayesian classifier. This lib
dbacl.tar
- dbacl是一个通用目的的digramic贝叶斯文本分类器。它可以学习你提供的文本，接着用 学到的类别来比较新的输入。它可以用于垃圾邮件过滤，或在你自己的外壳脚本中使用。 -dbacl is a general-purpose text digramic Bayesian classifier. It can learn to provide you with the text, then uses learned relatively new type of input. It can be
nb_spam
- 用朴素贝叶斯分类方法实现垃圾邮件分类。 基于matlab实现。-Bayesian classification method to achieve with spam classification. Matlab-based implementation.
AntSpamENgine
- spam source code\jasen-0.9jASEN - java Anti Spam ENgine.zip 如标题所示，具有垃圾过滤的邮件程序-spam source code\jasen-0.9jASEN- java Anti Spam ENgine
Artificial-Immune-Algorithm
- 用CSHARP编写，通过人工免疫算法来实现垃圾邮件的过滤-CSHARP preparation used through artificial immune algorithm to achieve the filtering spam
BayesDataMining
- 贝叶斯算法的对垃圾邮件数据进行分类处理，总共分成两类。-Bayesian algorithm for spam classification data, a total of two separate categories.
Mail
- 可连接163,126和qq邮箱，获取邮箱中的邮件，根据贝叶斯分类器的的学习识别获取到的垃圾邮件。-This program connects to 163, 126 or QQ mailbox to obtain the email, and recognizes the spam based on the learning result by Bayes Classifer.
spam_c_source.tar
- 多目标优化算法——Set Preference Algorithm for Multiobjective Optimization -SPAM is a multiobjective evolutionary algorithm to incorporate preference and has been proposed by Eckart Zitzler, Lothar Thiele, and Johannes Bader at the ETH Zurich.
NaiveBayes
- Implementation of Naive bayes spam filters
machineLearning
- 机器学习-分类器-垃圾邮件系统。数据集来自UCI-spambase.data.-Machine Learning- spam classifier.
pu1
- 用于机器学习中垃圾邮件过滤的垃圾邮件语料库-For machine learning in spam filtering spam corpus
Filter.py
- 利用贝叶斯分类器写的垃圾邮件过滤器，准确率达98 -A spam email filter with Naive Bayes.
naive-bayes-spam-filter-master
- 基于朴素贝叶斯分类器写的垃圾邮件过滤系统-machine learning bayes
SVM
- SVM，实现线性可分二维数据和线性不可分二维数据的分类。svm的应用：垃圾邮件的分类。-SVM, realized linearly separable two-dimensional data and linear inseparable two-dimensional data classification. svm applications: spam classification.
NaiveBayes
- python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
zh_cnn_text_classify-master
- 基于卷积神经网络(CNN)的中文垃圾邮件检测，很好的学习程序，基于python开发，需要配置Tensorflow。-Based on convolutional neural network (CNN) of Chinese spam detection, good learning program, python-based development, you need to configure Tensorflow.
NaiveBayesSpamFilter-master
- 利用朴素贝叶斯算法实现垃圾邮件的过滤，并结合Adaboost改进该算法(spam filter using Adaboost and Navie bayesian)
bayes
- 使用朴素贝叶斯对垃圾邮件进行分类，附带数据(For spam classification using Naive Bayesian, supplementary data)
垃圾短信分类
- 基于文本内容的垃圾短信识别,对数据进行了数据清洗,分词等,进行 了模型训练及评价(Based on the text content of spam short message recognition, data cleaning, segmentation, model training and evaluation are carried out)