Model for Automatic Textual Data Clustering in Relational Databases Schema

Work in Progress: Quantifying Learning by Reflecting on Doing in an Engineering Design, Build, and Test Course

“…Learning y Value / Utility z Through x (From x, By doing x, …) I learned y I did not consider x initially I realized y Value / utility z I thought (expected) x before / initially I found out y in future of I discovered y learning y I became conscious of y [4] √ Xu and coauthors [5] √ Agichtein and coauthors [6] √ √ Castellanos and coauthors [7] √ Haddi and coauthors [8] √ Tang and coauthors [9] √ Nimmagadda and coauthors [10] √ Turk [11] √ Yafooz and coauthors [12] √ √ Neto and coauthors [13] √ Trstenjak and coauthors [14] √ Mahgoub and coauthors [15] √ √ Larsen and coauthors [16] √ Kucher and coauthors [17] √ Chi and coauthors [18] √ Kulahcioglu and coauthors [19] √ Malheiros and coauthors [20] √ √ This paper √ √ √ √ Data cleaning is a very important step in a text mining program. Our goal in data cleaning is to preprocess the textual content of a document so that interesting contents are extracted or transformed to a required format.…”

“…Turk [11] proposes a construction design document management schema which suggests that a document should be used as a larger data chunk instead of records, attributes and primitive objects, and present the document management prototype. Yafooz and coauthors [12] propose a method to automatically organize unstructured information in relational database management systems through linkages among textual data based on semantics.…”