DATA MINING-TECHNOLOGY


NEWSXY FINANCE
Data mining is a process used by companies to turn raw data into useful information. By using software to look for patterns in large batches of data, businesses can learn more about their customers and develop more effective marketing strategies as well as increase sales and decrease costs. Data mining is the practice of automatically searching large stores of data to discover patterns and trends that go beyond simple analysis. Data mining uses sophisticated mathematical algorithms to segment the data and evaluate the probability of future events. Data mining is also known as Knowledge Discovery in Data

Advances in knowledge discovery anddata mining
free download

Page 1. Advances in Knowledge Discovery andData MiningEdited by Usama M. Fayyad Jet Propulsion Laboratory, California Institute of Technology Gregory Piatetsky-Shapiro GTE Laboratories Incorporated Padhraic Smyth Jet Propulsion Laboratory, California Institute of

Data Mining : Concepts and Techniques
free download

Jiawei Han and Micheline Kamber,

STING: A statistical information grid approach to spatialdata mining
free download

Abstract Spatialdata mining ie, discovery of interesting characteristics and patterns that may implicitly exist in spatial databases, is a challenging task due to the huge amounts of spatial data and to the new conceptual nature of the problems which must account for spatial

Data miningfor direct marketing: Problems and solutions.
free download

Abstract Direct marketing is a process of identifying likely buyers of certain products and promoting the products accordingly. It is increasingly used by banks, insurance companies, and the retail industry.Data miningcan provide an e ective tool for direct marketing. During

Mining frequent patterns in data streams at multiple time granularities
free download

Abstract: Although frequent-pattern mining has been widely studied and used, it is challenging to extend it to data streams. Compared to mining from a static transaction data set, the streaming case has far more information to track and far greater complexity to

The handbook ofdata mining
free download

THE HANDBOOK OFDATA MINING

Fuzzydata miningand genetic algorithms applied to intrusion detection
free download

Page 1. Department of Computer Science Intelligent Systems Laboratory FUZZYDATA MINING AND GENETIC ALGORITHMS APPLIED TO INTRUSION DETECTION Susan M. Bridges Bridges@cs.msstate.edu Rayford B. Vaughn vaughn@cs.msstate.edu 23rd National Information

Introduction to businessdata mining
free download

developed to introduce students as opposed to professional practitioners or engineering students to the fundamental introduction to businessdata mining data miningin business discussion of process

Security and privacy implications ofdata mining
free download

AbstractData miningenables us to discover information we do not expect to nd in databases. This can be a security/privacy issue: If we make information available, are we perhaps giving out more than we bargained for This position paper discusses possible

Principles ofdata mining(adaptive computation and machine learning)
free download

Machine Learning) find helpful customer reviews and review ratings for principles ofdata miningadaptive computation and machine learning at amazon read honest and download and read principles ofdata miningadaptive computation and machine learning hootenanny

A fast clustering algorithm to cluster very large categorical data sets indata mining .
free download

Abstract Partitioning a large set of objects into homogeneous clusters is a fundamental operation indata mining . The k-means algorithm is best suited for implementing this operation because of its efficiency in clustering large data sets. However, working only on

Orange:data miningtoolbox in Python
free download

Abstract Orange is a machine learning anddata miningsuite for data analysis through Python scripting and visual programming. Here we report on the scripting part, which features interactive data analysis and component-based assembly ofdata mining

DMQL: Adata miningquery language for relational databases
free download

Abstract The emergingdata miningtools and systems lead naturally to the demand of a powerfuldata miningquery language, on top of which many interactive and exible graphical user interfaces can be developed. This motivates us to design adata miningquery

Metarule-guided mining of multi-dimensional association rules using data cubes.
free download

Introduction Metarule-guided mining is a interactive approach todata mining whereby the user can probe the data un- der analysis by specifying hypotheses in the form of metarules, or pattern templates. Adata miningsys- tem

Data miningfor education
free download

Data mining also called Knowledge Discovery in Databases (KDD), is the field of discovering novel and potentially useful information from large amounts of data.Data mining has been applied in a great number of fields, including retail sales, bioinformatics, and

What isData Mining
free download

Page 1. Frequent Item Mining Page 2. What isdata mining=Pa5ern Mining What pa5erns Why are they useful Page 3. 3 Definion: Frequent Itemset Itemset A collecon of one or more items Example: {Milk, Bread, Diaper} k-itemset An itemset that contains k items

Data miningalgorithms to classify students
free download

Abstract. In this paper we compare differentdata miningmethods and techniques for classifying students based on their Moodle usage data and the final marks obtained in their respective courses. We have developed a specific mining tool for making the configuration

Temporaldata mining : An overview
free download

Abstract. One of the main unresolved problems that arise during thedata miningprocess is treating data that contains temporal information. In this case, a complete understanding of the entire phenomenon requires that the data should be viewed as a sequence of events.

Predictivedata miningfor medical diagnosis: An overview of heart disease prediction
free download

ABSTRACT The successful application ofdata miningin highly visible fields like e-business, marketing and retail has led to its application in other industries and sectors. Among these sectors just discovering is healthcare. The healthcare environment is stillinformation rich

Data miningand statistics for decision making
free download

1 Overview ofdata mining1 1.1 What isdata mining1 1.2 What isdata miningused for4 1.2. 1Data miningin different sectors 4 1.2. 2Data miningin different applications 8 1.3 Data miningand statistics i 11 1.4Data miningand information technology 12 1.5Data

Visualdata mining
free download

processes with graphic visualization, penalizes both procedures with each others deficiencies and limitations. For example, because an analytical process cant analyze multimedia data, we have to give up the strengths of visualization to study movies and music

Principles ofdata mining
free download

Any algorithm which assigns a classification to unseen instances is called a classifier. A decision tree of the kind described in earlier chapters is one very popular type of classifier, but there are several others, some of which are described elsewhere in this book. This

Data miningand statistics: Whats the connection
free download

AbstractData Miningis used to discover patterns and relationships in data, with an emphasis on large observational data bases. It sits at the common frontiers of several elds including Data Base Management, Arti cial Intelligence, Machine Learning, Pattern

Data miningfor network intrusion detection
free download

Abstract This paper gives an overview of our research in building rare class prediction models for identifying known intrusions and their variations and anomaly/outlier detection schemes for detecting novel attacks whose nature is unknown. Experimental results on the

Data Mining : A hands on approach
free download

Data miningis basically the process of knowledge discovery, which dates since the dawn of time. People have attempted to performdata miningeven before the term was being in use. Data mininghas know a huge rise of popularity since the early 1990s and have been very

16 Exploration of the Power of Attribute-Oriented Induction inData Mining
free download

Abstract Attribute-oriented induction is a set-oriented database mining method which generalizes the task-relevant subset of data attribute-by-attribute, compresses it into a generalized relation, and extracts from it the general features of data. In this chapter, the

Scalable, DistributedData MiningAn Agent Architecture.
free download



Applications ofdata miningto electronic commerce
free download

Electronic commerce is emerging as the killer domain fordata miningtechnology. Is there support for such a bold statementData miningtechnologies have been around for decades, without moving significantly beyond the domain of computer scientists,

Survey of classification techniques indata mining
free download

AbstractClassification is adata mining(machine learning) technique used to predict group membership for data instances. In this paper, we present the basic classification techniques. Several major kinds of classification method including decision tree induction, Bayesian

Meta-learning in distributeddata miningsystems: Issues and approaches
free download

AbstractData miningsystems aim to discover patterns and extract useful information from facts recorded in databases. A widely adopted approach to this objective is to apply various machine learning algorithms to compute descriptive models of the available data. Here, we

Predicting breast cancer survivability usingdata miningtechniques
free download

Abstract In this paper we present an analysis of the prediction of survivability rate of breast cancer patients usingdata miningtechniques. The data used is the SEER Public-Use Data. The preprocessed data set consists of 151,886 records, which have all the available 16

Applications ofdata miningtechniques in healthcare and prediction of heart attacks
free download

AbstractThe healthcare environment is generally perceived as being information richyet knowledge poor. There is a wealth of data available within the healthcare systems. However, there is a lack of effective analysis tools to discover hidden relationships and

Mining student data to characterize similar behavior groups in unstructured collaboration spaces
free download

collabo- ration. In this paper we propose to shape the analysis problem as adata miningtask. We suggest that the typicaldata miningcycle bears many resemblances with proposed models for collaboration manage- ment. We

MineSet: An Integrated System forData Mining .
free download

Abstract MineSetTM, Silicon Graphics interactive system fordata mining integrates three powerful technologies: database access, analyticaldata mining and data visualization. It supports the knowledge discovery process from data access and preparation through

Online mining of changes from data streams: Research problems and preliminary results
free download

have to handle various data streams. It is demanding to conduct advanced analysis anddata miningover fast and large data streams to capture the trends, patterns, and ex- ceptions. Recently, some interesting results have

Data mining : The search for knowledge in databases
free download

AbstractData miningis the search for reIationships and gIobaI patterns that exist in Iarge databases, but arehiddenamong the vast amounts of data, such as a reIationship between patient data and their medicaI diagnosis. These reIationships represent vaIuabIe knowIedge

Mining student data using decision trees
free download

This paper is an attempt to use thedata miningprocesses, particularly classification, to help in enhancing the quality of the higher educational system by evaluating student data to study the main attributes that may affect the student performance in courses A standard view of probability and statistics centres on distributions and hypothesis testing. To solve a real problem, say in the spread of disease, one chooses a model, a distribution or process that is believed from tradition or intuition to be appropriate to the class of

Data miningand database systems: Where is the intersection
free download

The promise of decision support systems is to exploit enterprise data for competitive advantage. The process of deciding what data to collect and how to clean such data raises nontrivial issues. However, even after a data warehouse has been set up, it is often difficult

Catching up with the Data: Research Issues in Mining Data Streams.
free download

To avoid wasting this data, we must switch from the traditional one-shotdata miningapproach to systems that are able to mine continuous, high-volume, open-ended data streams as they arrive Whichdata miningalgorithms are best suited to mining fast data streams Some

Data miningexplained: a managers guide to customer-centric business intelligence
free download

Business Intelligence start by markingdata miningexplained a managers guide to customer centric business intelligence as want to read get this from a librarydata miningexplained a managers guide to customer centric business intelligence rhonda delmater; monte hancock

NEURAL NETWORKS INDATA MINING .
free download

ABSTRACT Companies have been collecting data for decades, building massive data warehouses in which to store it. Even though this data is available, very few companies have been able to realize the actual value stored in it. The question these companies are asking

Data mining : A preprocessing engine
free download

Abstract: This study is emphasized on different types of normalization. Each of which was tested against the ID3 methodology using the HSV data set. Number of leaf nodes, accuracy and tree growing time are three factors that were taken into account. Comparisons between

An efficient algorithm for mining frequent itemsets over the entire history of data streams
free download

1 Introduction Mining frequent itemsets is an essential step in manydata mining problems, such as mining association rules, sequential patterns, closed patterns, maximal pattern, and many other importantdata miningtasks

Modern data warehousing, mining, and visualization: core concepts
free download

Page 1. 2003, Prentice-Hall Chapter 7 1 Chapter 7: The Future ofData Mining Warehousing, and Visualization Modern Data Warehousing, Mining 2003, Prentice-Hall Chapter 7 12 7-4: The Future ofData MiningAs promising as the field may be, it has difficulties

Mining students data to analyze e-Learning behavior: A Case Study
free download

ABSTRACT Educationaldata miningconcerns with developing methods for discovering knowledge from data that come from educational environment. In this paper we used educationaldata miningto analyze learning behavior

Frequent pattern mining in web log data
free download

Abstract: Frequent pattern mining is a heavily researched area in the field ofdata mining with wide range of applications Therefore, the application ofdata miningtechniques on the Web is now the focus of an increasing number of researchers

Data Quality Mining-Making a Virute of Necessity.
free download

Abstract In this paper we introduce data quality mining (DQM) as a new and promisingdata miningapproach from the academic and the business point of view. The goal of DQM is to employdata miningmethods in order to

A mutually beneficial integration ofdata miningand information extraction
free download

Abstract Text mining concerns applyingdata miningtechniques to unstructured text. Information extraction (IE) is a form of shallow text understanding that locates specific pieces of data in natural language documents, transforming unstructured text into a structured

Mining knowledge in geographical data
free download

Page 1.MiningKnowledge in Geographical Data Krzysztof Koperski Jiawei Han Junas Adhikary Thus, spatialdata miningdemands an integration ofdata miningwith spatial database technologies. A crucial challenge to spatialdata miningis the

Issues in mining imbalanced data sets-a review paper
free download

the expectations. For example,data miningand knowl- edge discovery conferences host workshops on new chal- lenging topics triggered by the market: IDS, bioinformat- ics, text and web mining, multimedia mining, etc. With

Data miningfor Internet of Things: A survey.
free download

AbstractIt sounds like mission impossible to connect everything on the earth together via internet, but Internet of Things (IoT) will dramatically change our life in the foreseeable future, by making manyimpossiblespossible. To many, the massive data generated or

Decision tree analysis on j48 algorithm fordata mining
free download

AbstractTheData Miningis a technique to drill database for giving meaning to the approachable data. It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make predictions about

Time series feature extraction fordata miningusing DWT and DFT
free download

Abstract A new method of dimensionality reduction for time seriesdata miningis proposed. Each time series is compressed with wavelet or Fourier decomposition. Instead of using only the first coefficients, a new method of choosing the best coefficients for a set of time series is

Effective prediction of web-user accesses: Adata miningapproach
free download

Abstract The problem of predicting web-user accesses has recently attracted significant attention. Several algorithms have been proposed, which find important applications, like user profiling, recommender systems, web prefetching, design of adaptive web sites, etc. In

A survey onData Miningapproaches for Healthcare
free download

AbstractData Miningis one of the most motivating area of research that is become increasingly popular in health organization.Data Miningplays an important role for uncovering new trends in healthcare organization which in turn helpful for all the parties

Swarm intelligence indata mining
free download

Summary This chapter presents the biological motivation and some of the theoretical concepts of swarm intelligence with an emphasis on particle swarm optimization and ant colony optimization algorithms. The basicdata miningterminologies are explained and

A comparative study of various clustering algorithms indata mining
free download

Abstract-Data clustering is a process of putting similar data into groups. A clustering algorithm partitions a data set into several groups such that the similarity within a group is larger than among groups. This paper reviews six types of clustering techniques-k-Means

Learning analytics and educationaldata miningin practice: A systematic literature review of empirical evidence
free download

ABSTRACT This paper aims to provide the reader with a comprehensive background for understanding current knowledge on Learning Analytics (LA) and EducationalData Mining (EDM) and its impact on adaptive learning. It constitutes an overview of empirical evidence

Data miningtechniques
free download

Page 1.DATA MININGTECHNIQUES Review of Probability Theory Yijun Zhao Northeastern University spring 2015 Yijun ZhaoDATA MININGTECHNIQUES Review of Probability Theory Page 2. Review of Probability Theory Based onReview of Probability Theoryfrom CS 229 -SOFTWARE SALES SERVICE-https://www.engpaper.net--