DATAMINING
PROJECT REPORT
Submitted by SHY AM KUMAR S MTHIN GOPINADH AJITH JOHN ALIAS RI TO GEORGE CHERIAN
1
INTRODUCTION
1.1 ABOUT THE TOPIC
Data Mining is the process of discovering new correlations, patterns, and trends by digging into (mining) large amounts of data stored in warehouses, using artificial intelligence, statistical and mathematical techniques. Data mining can also be defined as the process of extracting knowledge hidden from large volumes of raw data i.e. the nontrivial extraction of implicit, previ ....etc

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Abstract
A lot of research has been done in the area of spam _ltering and several sophisticated methods using arti_cial intelligence have been proposed. However, most of the open source spam _lters available to- day do not provide consistent accuracy levels. Spamassassin, which is at present said to be best open source spam _lter, aims at providing a single solution that can satiate the needs of individuals as well as large organizations. It _lters spam at various levels using di_erent methods with the idea that spammers will be blocked atlea ....etc

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PATTERN RECOGNITION - A STATISTICAL APPROACH
Presented By:
Vinay Kumar K 1 Bhavanishankar K2

1 Asst. Professor and HOD, Dept of CS, National Institute of Technology, Karnataka, India, E-mail:
2 II Year M.Tech, Dept of CS, National Institute of Technology, Karnataka,
ABSTRACT

The primary goal of pattern recognition is supervised or unsupervised classification. Among the various frameworks in which pattern recognition has been traditionally formulated, the statistical approach has been most intensiv ....etc

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tomorrow ..is the last day of my project... ....etc

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I am doing a project on heart prediction system in java. So I require source code for this project.

Thank you ....etc

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tomorrow ..is the last day of my project... ....etc

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Abstract”
The basic concern of a Communication System is to transfer information from its source to a destination some distance away. Textual documents also deal with the transmission of information. Particularly, from a text categorization system point of view, the information encoded by a document is the topic or category it belongs to. Following this initial intuition, a theoretical framework is developed where Automatic Text Categorization (ATC) is studied under a Communication System perspective. Under this approach, the problemati ....etc

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hello iam doing my mtech thesisi on human emotion identification so please provie the source code of existing algorithms for emotion detection from an image ....etc

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I want the er diagram of suspicious email detection urgently ....etc

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Modeling Surprise
INTRODUCTION
Much of modern life depends on forecasts: where the next hurricane will make landfall, how the stock market will react to falling home prices, who will win the next primary. While existing computer models predict many things fairly accurately, surprises still crop up, and we probably can't eliminate them. But Eric Horvitz, head of the Adaptive Systems and Interaction group at Microsoft Research, thinks we can at least minimize them, using a technique called surprise modeling.
Surpr ....etc

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Abstract
A lot of research has been done in the area of spam _ltering and several sophisticated methods using arti_cial intelligence have been proposed. However, most of the open source spam _lters available to- day do not provide consistent accuracy levels. Spamassassin, which is at present said to be best open source spam _lter, aims at providing a single solution that can satiate the needs of individuals as well as large organizations. It _lters spam at various levels using di_erent methods with the idea that spammers will be blocked atlea ....etc

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A Project Report on OMNI FONT recognition in Indian language OCR

Presented by
Ravi Kant Yada
Master of Technology
Computer Science & Engineering
Guru Gobind Singh Indraprastha University
Kashmere Gate, Delhi

ABSTRACT
Most of the Indian language electronic data are Unicode encoded. Processing Unicode data is quite straight forward because it follows distinguished code ranges for each language and there is a one-to-one correspondence between characters. Hence it becomes necessary to identify the font enc ....etc

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Text Classification from Labeled and Unlabeled
Documents using EM



Abstract.

This paper shows that the accuracy of learned text classiers can be improved by
augmenting a small number of labeled training documents with a large pool of unlabeled documents.
This is important because in many text classication problems obtaining training labels
is expensive, while large quantities of unlabeled documents are readily available.

Introduction

Consider the problem of automatically classifying te ....etc

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