Patent AU-2020102129-A4 (AU)
Title: IML- Data Cleaning: INTELLIGENT DATA CLEANING USING MACHINE LEARNING PROGRAMMING
Inventor: MADGI MANOHAR
IPC: G06F16/35
Filed: 2020-09-03
Granted: 2020-10-15
Abstract: Patent Title: IML- Data Cleaning: INTELLIGENT DATA CLEANING USING MACHINE 
LEARNING PROGRAMMING.  
ABSTRACT 
Our invention" IML- Data Cleaning "is a system and article of manufacture enabling 
adapting to a shift in document content and also the instructions for receiving at least one 
labeled mapped seed document receiving unlabeled mapped documents receiving at least 
one predetermined cost factor training data a transductive classifier using the at least one 
predetermined cost factor calculated data and at least one seed document and the 
unlabeled documents. The invention also classifying the unlabeled documents having a 
confidence level above a predefined threshold into a plurality of indexing and categories 
using the classifier reclassifying at least some of the categorized documents into the 
categories using the classifier and outputting identifiers of the categorized documents to 
at least one of a user another system and another process. The invented systems and 
articles of also manufacture for separating documents are also presented and the systems 
and articles of manufacture for document searching are also presented a business and 
other information service provides data cleansing to correct and update both domestic 
and global addresses. The invented system a integrate and combination of processes 
generates cleansed data for input into a matching and mapping process and the matching, 
the mapping process matches information about a business. The invented technology data 
cleaning process includes the steps of validating data loaded from at least two source 
systems appending the validated data to a normalized data cleaning repository selecting 
the priority of the source system creating a clean database; loading the consistent, 
normalized, and cleansed data from the clean database into a format required by data 
systems and software tools using the data. The invented technology also creating reports 
and updating the clean database by a user without updating the source systems. The data 
cleaning process distributed and collecting, analyzing data from available sources for 
optimization models enabling consistent analysis. The invented technology the data 
cleaning process further provides complete auditability to the inputs and outputs of data 
systems and software tools that use a dynamic data set.  
25
Manohar Madgi (Associate Professor) Dr. Ramesh Shahabadkar (Professor) 
Dr. Nagaraj B. Patil (Principal) Dr. Bharati Harsoor (Professor & Head) 
Ashok Patil (Assistant Professor) Padmapriya Patil (Assistant Professor) 
Dr. Basavaraj Chunchure (Associate Professor) Dr. R. Balakrishna (Professor & Dean) 
Dr. Rajesh K. S. (Associate Professor) Dr. Sai Madhavi D. (Associate Professor) 
TOTAL NO OF SHEET: 8 NO OF FIG.: 10 
Data Cleaning Process Parsing Correction Standardizing Consolidation 
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