dynamic data entry

1. Usher: Improving Data Quality with
Dynamic Forms

2.  Abstract
 Existing System
 Disadvantages.
 Proposed System
 Advantages
 System Requirements
 Module
 Hardware and Software Requirement
 System Architecture

3. Abstract:
1. Data quality is a critical problem in modern databases. Data
entry forms present the first and arguably best opportunity for
detecting and mitigating errors, but there has been little research
into automatic methods for improving data quality at entry time.
2. we propose USHER, an end-to-end system for form design,
entry, and data quality assurance. Using previous form
submissions, USHER learns a probabilistic model over the
questions of the form. USHER then applies this model at every
step of the data-entry process to improve data quality.
3. Before entry, it induces a form layout that captures the most
important data values of a form instance as quickly as possible
and reduces the complexity of error-prone questions.
4. During entry, it dynamically adapts the form to the values being
entered by providing real-time interface feedback, re-asking
questions with dubious responses, and simplifying questions by
reformulating them.

4. The existing Data quality is a critical problem in
modern databases.
Data entry forms present the first and arguably
best opportunity for detecting and mitigating errors, but
there has been little research into automatic methods for
improving data quality at entry time.

5. I. The problem of data quality is magnified in
low-resource data collection settings.
II. The existing systems to use the static
validation method in a form.

6. I. We propose USHER, an end-to-end system for form
design, entry, and data quality assurance. Using
previous form submissions, USHER learns a
probabilistic model over the questions of the form.
II. USHER then applies this model at every step of the
data entry process to improve data quality.
III. We have shown that probabilistic approaches can be
used to design intelligent data entry forms that
promote high data quality.

7. I. The every step of the data entry process to improve
data quality.
II. We have shown that probabilistic approaches can be
used to design intelligent data entry forms.
III. During entry, it dynamically adapts the form to the
values being entered, and enables real-time
feedback to guide the data enterer toward their
intended values.

8. HARDWARE REQUIREMENTS:
 System : Pentium IV 2.4 GHz.
 Hard Disk : 40 GB.
 Floppy Drive : 1.44 Mb.
 Monitor : 15 VGA Color.
 Mouse : Logitech.
 Ram : 512 MB.

9. Front End : Jsp, Servlets, struts 2.x
Back End : Oracle 10g
IDE : my eclipse 8.0
Language : java (jdk1.6.0)
Operating System : windows XP

11.  Create Module.
 Validation Module.
 Insert Module.
 View Module.

12. Create Module:
This module is used to create the form dynamically.
User to allocate the fields in that form in dynamically. Fields
are created using fields name, data type, requirement and
necessary.

13. Validation Module:
In this module, the users create the dynamic form
in a particular name. Once user to enter the submit button the
form is created. Then, the user set the validation to the
dynamic fields based on the user requirements. If the user
does not insert the value in a particular validation field,
system automatically display the validated word.

14. Insert Module:
The user is giving value to the particular form.
Based on the user requirements it will be check to the
validation conditions. While entering the value does not
match or correct in a validation condition automatically to
stop them. The users enter the correct details from the
textbox. The data will be stored in a dynamic table to the
database.

15. View Module:
In this module, display the table data to the user.
This is also to create the dynamic values based on the user
selected table name. The users create the lot of data in
dynamically and also view that data in a grid view.

16.  ALGORITHM - Static ordering algorithm for
form layout