Data mining methods

Ebook "Carbohydrate-based interactions at the molecular and the cellular level" offers a clearly written and highly accessible account of two different aspects of carbohydrate chemistry. Carbohydrates are an essential component of life and have many important biological functions, but the details of how carbohydrates interact with other biomolecules to mediate biological signalling remain unclear. Firstly, this thesis details innovative methods to mine protein structural data to uncover new features of carbohydrate-based interactions.

216p tracanhphuonghoa1007 22-04-2024 4 3   Download

The paper discusses how the traditional method of association rule mining based on user-defi ned minimum support and confi dence can result in either too many or too few association rules. This could lead to valuable information being missed or redundant rules being generated, which is not practical and can be costly to implement.

7p vijaychest 24-04-2024 3 2   Download

The purpose of this research is to analyse the impact of the development of supply chain strategy in the tourism KEK Kelayang Cape as an alternative economy after Tin Mining. The research method is quantitative descriptive design, the number of samples used 80 SME business based on tourism. Analysis of the data using the analysis Confirmatory Factor with PLS method. Research findings indicate that the development of tourism in the Island of Belitung already provide economic impact, social and environment.

17p longtimenosee09 08-04-2024 1 0   Download

Time series data is a series of values observed through repeated measurements at different times. Time series data is a type of data present in almost all different fields of life. Time series prediction is an significant problem in time series data mining.

7p vilarry 01-04-2024 2 1   Download

Continued part 1, part 2 of ebook "Practical chemoinformatics" provides readers with contents including: active site-directed pose prediction programs for efficient filtering of molecules; representation, fingerprinting, and modelling of chemical reactions; predictive methods for organic spectral data simulation; chemical text mining for lead discovery; ntegration of automated workflow in chemoinformatics for drug discovery;...

261p tudohanhtau1006 29-03-2024 5 1   Download

This paper analyzes three different classification methods: classification trees, k-nearest neighbors, and artificial neural networks to determine if there are any performance gaps between the methods. A series of experiments are conducted utilizing the Analytic Solver Data Mining (formerly XLMiner) add-in to Microsoft Excel in an effort to address these issues. The analysis reveals that there may be minor performance gaps, but the methods all perform well in the context of this study.

13p longtimenosee06 27-03-2024 3 2   Download

Ebook "Methods of microarray data analysis V" provides readers with contents including: data mining of malaria parasite gene expression for possible translational research; constructing probabilistic genetic networks of plasmodium falciparum from dynamical expression signals of the intraerythrocytic development cycle; simple methods for peak and valley detection in time series microarray data;...

186p tachieuhoa 28-01-2024 5 2   Download

Ebook "Pattern recognition in bioinformatics: 5th IAPR international conference, PRIB 2010 Nijmegen, The Netherlands, September 22-24, 2010 proceedings" has two main objectives: the creation and maintenance of biological databases and the analysis of life sciences data in order to unravel the mysteries of biological function. Computer science methods such as pattern recognition, machine learning, and data mining have a great deal to offer the field of bioinformatics.

458p tachieuhoa 28-01-2024 4 2   Download

Ebook "Bioreactor engineering research and industrial applications I: Cell factories" review series presents current trends in modern biotechnology. The aim is to cover all aspects of this interdisciplinary technology where knowledge, methods and expertise are required from chemistry, biochemistry, microbiology, genetics, chemical engineering and computer science. Volumes are organized topically and provide a comprehensive discussion of developments in the respective field over the past 3-5 years.

247p lamquandat 28-12-2023 5 2   Download

Ebook "Big data in omics and imaging: Association analysis" addresses the recent development of association analysis and machine learning for both population and family genomic data in sequencing era. It is unique in that it presents both hypothesis testing and a data mining approach to holistically dissecting the genetic structure of complex traits and to designing efficient strategies for precision medicine.

701p lamquandat 28-12-2023 2 2   Download

The issue is how to mine efficiently correlation high utility itemsets with negative profits. Given the transactional database D and the profit table of products, how to find the best correlation high utility itemsets on the database with items having negative profits. To address these issues, the paper proposes a COHUIs_CoHUN method to mine correlation high utility itemsets with negative profits.

5p visystrom 22-11-2023 12 4   Download

The intent of this book is to describe some recent data mining tools that have proven effective in dealing with data sets which often involve uncertain description or other complexities that cause difficulty for the conventional approaches of logistic regression, neural network models, and decision trees. We have organized the material into three parts. Part I introduces concepts. Part II contains chapters on a number of different techniques often used in data mining. Part III focuses on business applications of data mining.

182p haojiubujain08 01-11-2023 9 2   Download

Ebook "Applied data mining: Statistical methods for business and industry" includes contents: Chapter 1 introduction, chapter 2 organisation of the data, chapter 3 exploratory data analysis, chapter 4 computational data mining, chapter 5 statistical data mining, chapter 6 evaluation of data mining methods, chapter 7 market basket analysis, chapter 8 web clickstream analysis, chapter 9 profiling website visitors, chapter 10 customer relationship management, chapter 11 credit scoring, chapter 12 forecasting television audience.

378p haojiubujain08 01-11-2023 7 1   Download

Ebook "Data mining - Know it all" includes content: What’s it all about, data acquisition and integration, data preprocessing, physical design for decision support, warehousing, and OLAP, algorithms - the basic methods, further techniques in decision analysis, fundamental concepts of genetic algorithms,... and other contents.

477p haojiubujain07 20-09-2023 4 4   Download

Ebook "Data mining patterns - New methods and applications" includes content: Metric methods in data mining, bi directional constraint pushing infrequent pattern mining, mining hyperclique patterns - a summary of results, finding patterns in class labeled data using data visualization, summarizing data cubes using blocks,...and other contents.

324p haojiubujain07 20-09-2023 5 4   Download

Ebook "Data mining practical machine learning tools and techniques" includes content: What’s it all about; Input - Concepts, instances, and attributes; Output - Knowledge representation; Algorithms - The basic methods, Credibility - Evaluating what’s been learned, Implementations - Real machine learning schemes, Transformations - Engineering the input and output,...and other contents.

558p haojiubujain07 20-09-2023 9 4   Download

Ebook "Data mining methods and models" includes content: Dimension reduction methods, regression modeling, multiple regression and model building, logistic regression, naive bayes estimation and bayesian networks, genetic algorithms, case study - modeling response to direct mail marketing,...and other contents.

340p haojiubujain07 20-09-2023 6 3   Download

Ebook "Data mining practical machine learning tools and techniques" includes content: What’s it all about; Input - Concepts, instances, and attributes; Output - Knowledge representation; Algorithms - The basic methods, Credibility - Evaluating what’s been learned, Implementations - Real machine learning schemes, Transformations - Engineering the input and output,...and other contents.

665p haojiubujain07 20-09-2023 4 3   Download

Ebook "Methods and applications of artificial intelligence" includes content: Invited talks, information management, machine learning, data mining and diagnosis, knowledge representation and search, natural language processing, ai in power system operation and fault diagnosis, intelligent techniques in image processing, intelligent virtual environments.

563p haojiubujain07 20-09-2023 3 3   Download

Ebook "Symbolic data analysis and the SODAS software" includes content: Improved generation of symbolic objects from relational databases, exporting symbolic objects to databases, a statistical metadata model for symbolic objects, editing symbolic data, the normal symbolic form, unsupervised divisive classification, hierarchical and pyramidal clustering, clustering methods in symbolic data analysis, visualizing symbolic data by kohonen maps

478p haojiubujain07 20-09-2023 3 3   Download