Data classification regression method and data classification regression device

A technology of data classification and regression methods, which is applied in the field of data processing and can solve problems such as high computational complexity

Active Publication Date: 2015-12-09
HUAWEI TECH CO LTD
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Problems solved by technology

[0006] The embodiment of the present invention provides a data classification and regression method and device to

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  • Data classification regression method and data classification regression device
  • Data classification regression method and data classification regression device

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Embodiment Construction

[0038] In order to solve the current problem of high computational complexity when performing classification and regression on data. In the embodiment of the present invention, the data in the initial sample vector set is divided into continuous type data sequence, category type data sequence, and binary data sequence; the continuous type data sequence is converted into the first vector sequence in binary form, and the category After the type data sequence is converted into the second vector sequence, the first vector sequence, the second vector sequence, and the binary data sequence are combined to generate a classification regression vector sequence; according to each vector in the classification regression vector sequence, an initial sample vector set is obtained Corresponding regression hash buckets for each category, and category statistical values ​​corresponding to the regression hash buckets for each category, according to the category statistical values, the classifica...

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Abstract

The invention discloses a data classification regression method and a data classification regression device. The method comprises the following steps of dividing an initial sample vector set into a continuous type data sequence, a category type data sequence and a binary data sequence; respectively converting the continuous type data sequence and the category type data sequence into a first vector sequence and a second vector sequence which are in a binary form; merging the first vector sequence, the second vector sequence and the binary data sequence to generate a classification regression vector sequence; and obtaining a classification regression result of the initial sample vector set according to each vector in the classification regression vector sequence. By adopting the technical scheme, the obtaining of the data classification regression result is not limited by the data dimension number and the data volume; and the data classification regression can be realized without adopting an iterative algorithm, so that the complexity for obtaining the data classification regression result is lowered.

Description

technical field [0001] The invention relates to the field of data processing, in particular to a method and device for data classification and regression. Background technique [0002] In the field of data processing, classifying and regressing data is to discover classification rules from the analysis results of the training set for known categories, so as to predict the category of newly collected data. Through the regression analysis of the collected data, the classification information required by the user can be obtained, and the deeper rules can be obtained according to the classification information, so as to apply the rules to bank risk assessment, customer category classification, text retrieval and search engine classification , intrusion detection applications in the security field and other related fields. [0003] At present, there are many methods for classification and regression of data, such as neural network, Bayesian network and other methods, and the abo...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 田光见张夏天范伟
Owner HUAWEI TECH CO LTD
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