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Method for mining data in construction regulation field based on associative regulation mining technology

A technology of regulations and rules, which is applied in the field of data mining in the field of construction regulations based on association rule mining technology, can solve problems such as association analysis of outlier data, and achieve the effect of reducing dimensions

Inactive Publication Date: 2010-02-24
XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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Problems solved by technology

[0042] In view of the defects or deficiencies in the above-mentioned prior art, the purpose of the present invention is to provide a method for mining data in the field of construction regulations based on association rule mining technology. In the process of mining data in the field of construction regulations, each The candidate feature words in the text of construction regulations are arranged in descending order of their frequency from high to low, and the candidate feature words are determined when the cumulative frequency reaches the threshold, and the association rules are output, which are set to provide users with a higher query rate for data. The recall rate and recommended related query content solve the technical problem that the existing correlation analysis technology cannot analyze the correlation analysis of outlier data

Method used

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  • Method for mining data in construction regulation field based on associative regulation mining technology
  • Method for mining data in construction regulation field based on associative regulation mining technology
  • Method for mining data in construction regulation field based on associative regulation mining technology

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Embodiment 1

[0153] Step 1: Since the construction regulations data of various provinces and cities have strong commonality, the cluster sampling strategy is used to extract the text data of construction regulations in Shaanxi Province with a capacity of 250 since 1949;

[0154] The second step: remove the words with high frequency of the above-mentioned text feature words for each construction regulation text, and the remaining words are used as candidate feature words;

[0155] The third step: count the candidate feature words for each text and sort them by frequency, and truncate when the cumulative frequency reaches 85%;

[0156] Step 4: Summarize the features of all texts to form a feature word set with a feature word capacity of 362;

[0157] Step 5: Index each document with a Boolean assignment method to form a text vector space model;

[0158] Step 6: Transpose the text vector space model to obtain a set of feature vector space models;

[0159] Step 7: Sequentially extract featur...

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Abstract

The invention discloses a method for mining data in construction regulation field based on associative regulation mining technology; 1. a construction regulation text vector space model is generated, 2. a construction regulation data vector space model is generated, 3. the construction regulation data vector space model is subject transposition to generate a construction regulation data feature vector space model, namely, a frequent feature set is generated, and 4. construction regulation data association degree is calculated and an association rule is output. The method can mine the data in construction regulation field, provides higher recall ratio for a user inquiring data, recommends associative query contents, and solves the technical problem that the existing association analysis technologies can not carry out association analysis on outlier data.

Description

technical field [0001] The invention relates to a method for data mining of text features in the field of natural language processing, which belongs to the subclass G06F17 / 27 of the International Patent Classification (IPC), in particular to a method for mining data in the field of construction regulations based on association rule mining technology. Background technique [0002] Construction regulation data is unstructured data, and mining technology for construction regulation data belongs to the research category of text mining technology. The so-called text mining (Text Mining) refers to the use of data mining technology to discover novel, potentially usable and ultimately understandable knowledge (including concepts, patterns, rules, laws, constraints, etc.) from a large number of unstructured and heterogeneous text collections. and visualization) process. Text data has richer and more complex connotations than numerical structured data. The main task of text mining re...

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Application Information

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IPC IPC(8): G06F17/30
Inventor 苏变萍金维兴董丽丽侯筱婷
Owner XI'AN UNIVERSITY OF ARCHITECTURE AND TECHNOLOGY
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