Predict User Behaviour project in php

 Predict User Behaviour in php

PROJECT ID: PHP39

 PROJECT NAME: Predict User Behaviour in php

 PROJECT CATEGORY: MCA / BCA / BCCA / MCM / POLY / ENGINEERING

PROJECT ABSTRACT:

The World Wide Web (WWW) is a huge resource of multiple types of information in varied formats which is very useful for the analysis of business progress, which is very important now days to stand in the competition of business. Researchers are beginning to investigate human behavior in this distributed Web data warehouse and are trying to build models for understanding human behavior in virtual environments. Data mining, often called Web mining when applied to the Internet, is a process of extracting hidden predictive information and discovering meaningful patterns, profiles, and trends from large databases. Web mining is an iterative process of discovering knowledge and is proving to be a valuable strategy for understanding consumer and business activity on the Web. There are three sub categories for mining web information.

These sub categories are

1.      Web Content Mining

2.      Web Structure Mining

3.      Web Usage Mining

Web Content mining [3] deals with discovery of useful information from unstructured, semi structured or structured contents of web documents. Text, images, audio, video comprised by unstructured document, semi structured data includes HTML documents and lists and tables represent structured documents. The main aim of web content mining is to act as tool to retrieve information easily and quickly. Web Content Mining works by organizing a group of documents into related categories which helps web search engine to ex-tract information more quickly and efficiently. Web Structure Mining [6], [7] mines the information by utilizing the link structure of the web documents. It works on inter document level and discovers hyperlink structure. It helps in describing the similarities and relationships between sites. Web Usage Mining [3] is a data mining technique that mines the information by analyzing the log files that contains the user access patterns. Web Usage Mining mines the secondary data which is present in log files and derived from the interactions of the users with the web. Web usage Mining techniques are applied on the data present in web server logs, browser logs, cookies, user profiles, bookmarks, mouse clicks etc. This information is often gathered automatically access web log through the Web server.

SOFTWARE REQUIREMENTS:

·        Front End – PHP

·        Back End – MySQL 5.0

·        Server – Apache Server 2.0

·        Design Tool – Macromedia Dreamweaver 8.0

·        Documentation Tools – Microsoft Word

HARDWARE REQUIREMENTS:

·        233 MHz processor.

·        128 MB SD-RAM

·        2 – 4 GB Hard-Disk.

·        4x Compact Disk drive or quicker.

·        1.44 MB Floppy Disk Drive.

·        Monitor. [ 640 x 480 Display

 TABLE OF CONTENTS

·        Title Page      

·        Declaration

·        Certification Page

·        Dedication

·        Acknowledgements

·        Table of Contents

·        List of Tables

·        Abstract

CHAPTER SCHEME

CHAPTER ONE: INTRODUCTION

CHAPTER TWO: OBJECTIVES

CHAPTER THREE: PRELIMINARY SYSTEM ANALYSIS

·         Preliminary Investigation

·         Present System in Use

·         Flaws In Present System

·         Need Of New System

·         Feasibility Study

·         Project  Category

CHAPTER FOUR: SOFTWARE ENGINEERING AND PARADIGM APPLIED   

·         Modules

·         System / Module Chart

CHAPTER FIVE: SOFTWARE AND HARDWARE REQUIREMENT

CHAPTER SIX: DETAIL SYSTEM ANALYSIS

·         Data Flow Diagram

·         Number of modules and Process Logic

·         Data Structures  and Tables

·         Entity- Relationship Diagram

·         System Design

·         Form Design 

·         Source Code

·         Input Screen and Output Screen

CHAPTER SEVEN: TESTING AND VALIDATION CHECK

CHAPTER EIGHT: SYSTEM SECURITY MEASURES

CHAPTER NINE: IMPLEMENTATION, EVALUATION & MAINTENANCE

CHAPTER TEN: FUTURE SCOPE OF THE PROJECT

CHAPTER ELEVEN: SUGGESTION AND CONCLUSION

CHAPTER TWELE: BIBLIOGRAPHY& REFERENCES          

Other Information

PROJECT SOFWARE	ZIP
PROJECT REPORT PAGE	60 -80 Pages
CAN BE USED IN	Marketing (MBA)
PROJECT COST	1500/- Only
PDF SYNOPSIS COST	250/- Only
PPT PROJECT COST	300/- Only
PROJECT WITH SPIRAL BINDING	1750/- Only
PROJECT WITH HARD BINDING	1850/- Only
TOTAL COST (SYNOPSIS, SOFTCOPY, HARDBOOK, and SOFTWARE, PPT)	2500/- Only
DELIVERY TIME	1 OR 2 Days (In case Urgent Call: 8830288685)
SUPPORT / QUERY	www.projectsready.in
CALL	8830288685
Email	help@projectsready.in
[Note: We Provide Hard Binding and Spiral Binding only Nagpur Region]	Download