Online Dynamic form creation for
Non-IT Peoples
ABSTRACT
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. 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. Before entry, it induces a form layout that captures the most important
data values of a form instance as quickly as possible. 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. After entry, it re-asks
questions that it deems likely to have been entered incorrectly. We evaluate all
three components of USHER using two real-world data sets. Our results
demonstrate that each component has the potential to improve data quality
considerably, at a reduced cost when compared to current practice.
ALGORITHM - Static ordering algorithm for form layout
EXISTING SYSTEM:
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.
Disadvantage:
1. The problem of data quality is magnified in low-resource data collection
settings.
2. The existing systems to use the static validation method in a form.
PROPOSED SYSTEM:
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. We have
shown that probabilistic approaches can be used to design intelligent data
entry forms that promote high data quality.
Advantage:
1. The every step of the data entry process to improve data quality.
2. We have shown that probabilistic approaches can be used to design
intelligent data entry forms.
3. 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.
MODULES
1. Create Module.
2. Validation Module.
3. Insert Module.
4. View Module.
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.
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.
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.
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.
SYSTEM SPECIFICATION
Hardware Requirements:
•
System
: Pentium IV 2.4 GHz.
•
Hard Disk
: 40 GB.
•
Floppy Drive : 1.44 Mb.
•
Monitor
: 14’ Colour Monitor.
•
Mouse
: Optical Mouse.
•
Ram
: 512 Mb.
•
Keyboard
: 101 Keyboard.
Software Requirements:
•
Operating system
: Windows XP.
•
Coding Language
: ASP.Net with C#
• Data Base
: SQL Server 2005.