Data Mining by Mehmed Kantardzic (good book recommendations TXT) 📕

both theoretical and experimental research results. Submission of machine-learning papers describing machine-learning applications in fields like medicine, biology, industry, manufacturing, security, education, virtual environments, game playing, and problem solving is strongly encouraged.

5.The World Congress in Computer Science Computer Engineering and Applied Computing (WORLDCOMP)

http://www.world-academy-of-science.org/

WORLDCOMP is the largest annual gathering of researchers in computer science, computer engineering, and applied computing. It assembles a spectrum of affiliated research conferences, workshops, and symposiums into a coordinated research meeting held in a common place at a common time. This model facilitates communication among researchers in different fields of computer science and computer engineering. The WORLDCOMP is composed of more than 20 major conferences. Each conference will have its own proceedings. All conference proceedings/books are considered for inclusion in major database indexes that are designed to provide easy access to the current literature of the sciences (database examples are DBLP, ISI Thomson Scientific, IEE INSPEC).

6.IADIS European Conference on Data Mining (ECDM)

http://www.datamining-conf.org/

The ECDM is aimed to gather researchers and application developers from a wide range of data mining-related areas such as statistics, computational intelligence, pattern recognition, databases, and visualization. ECDM aims to advance the state-of-the-art in the data-mining field and its various real-world applications. ECDM will provide opportunities for technical collaboration among data mining and machine-learning researchers around the globe.

7.Neural Information Processing Systems Conference (NIPS)

http://nips.cc/

The NIPS Foundation is a nonprofit corporation whose purpose is to foster the exchange of research on neural information-processing systems in their biological, technological, mathematical, and theoretical aspects. Neural information processing is a field that benefits from a combined view of biological, physical, mathematical, and computational sciences.

The primary focus of the NIPS Foundation is the presentation of a continuing series of professional meetings known as the Neural Information Processing Systems Conference, held over the years at various locations in the United States and Canada.

The NIPS Conference features a single-track program, with contributions from a large number of intellectual communities. Presentation topics include algorithms and architectures; applications; brain imaging; cognitive science and AI; control and reinforcement learning; emerging technologies; learning theory; neuroscience; speech and signal processing; and visual processing.

8.European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD)

http://www.ecmlpkdd.org/

The ECML PKDD is one of the leading academic conferences on machine learning and knowledge discovery, held in Europe every year.

ECML PKDD is a merger of two European conferences, ECML and PKDD. In 2008 the conferences were merged into one conference, and the division into traditional ECML topics and traditional PKDD topics was removed.

9.Association for the Advancement of Artificial Intelligence (AAAI) Conference

http://www.aaai.org/

Founded in 1979, the AAAI, formerly the American Association for Artificial Intelligence, is a nonprofit scientific society devoted to advancing the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines. AAAI also aims to increase public understanding of AI, improve the teaching and training of AI practitioners, and provide guidance for research planners and funders concerning the importance and potential of current AI developments and future directions.

Major AAAI activities include organizing and sponsoring conferences, symposia, and workshops, publishing a quarterly magazine for all members, publishing books, proceedings, and reports, and awarding grants, scholarships, and other honors. The purpose of the AAAI conference is to promote research in AI and scientific exchange among AI researchers, practitioners, scientists, and engineers in related disciplines.

10.International Conference on Very Large Data Base (VLDB)

http://www.vldb.org/

VLDB Endowment Inc. is a nonprofit organization incorporated in the United States for the sole purpose of promoting and exchanging scholarly work in databases and related fields throughout the world. Since 1992, the Endowment has started to publish a quarterly journal, the VLDB Journal, for disseminating archival research results, which has become one of the most successful journals in the database area. The VLDB Journal is published in collaboration with Springer-Verlag. On various activities, the Endowment closely cooperates with ACM SIGMOD.

VLDB conference is a premier annual international forum for data management and database researchers, vendors, practitioners, application developers, and users. The conference features research talks, tutorials, demonstrations, and workshops. It covers current issues in data management, database and information systems research. Data management and databases remain among the main technological cornerstones of emerging applications of the twenty-first century.

A.3 DATA-MINING FORUMS/BLOGS

1.KDnuggets Forums

http://www.kdnuggets.com/phpBB/index.php

Good resource for sharing experience and asking questions.

2.Data Mining

http://dataminingwarehousing.blogspot.com/

This blog is helpful for data-mining beginners. It presents basic data-mining concepts with examples and applications.

3.Data Mining and Predictive Analytics

http://abbottanalytics.blogspot.com/

The posts on this blog cover topics related to data mining and predictive analytics from the perspectives of both research and industry.

4.AI, Data Mining, Machine Learning, and Other things

http://blog.markus-breitenbach.com/

This blog discusses machine learning with emphasis on AI and statistics.

5.Geeking with Greg

http://glinden.blogspot.com

This blog focuses on the topic of personalization and related research.

6.Data Miners Blog

http://blog.data-miners.com/

The posts on this blog provide industry-oriented reflections on topics from data analysis and visualization.

7.Data-Mining Research

http://www.dataminingblog.com/

This blog provides a venue for exchanging ideas and comments about data-mining techniques and applications.

8.Data Wrangling

http://www.datawrangling.com/

This blog provides across the board posts on news and technology related to machine learning and data mining.

9.Intelligent Machines

http://www.damienfrancois.be/blog/

This blog is dedicated to artificial intelligence and machine learning, and focuses on applications in business, science and every-day life.

10.Mininglabs

http://www.mininglabs.com/

This blog is established by a group of French independent researchers in the field of data mining, analyzing and data visualization. They are mostly interested in analyzing data coming from the internet at large (Web, peer-to-peer networks).

11.Machine Learning (Theory)

http://hunch.net/

A blog dedicated to the various aspects of machine learning theory and applications.

A.4 DATA SETS

This section describes a number of freely available data sets ready for use in data-mining algorithms. We selected a few examples for students who are starting to learn data mining and they would like to practice traditional data-mining tasks. A majority of these data sets are hosted on the UCI Machine Learning Repository. For more data sets look up this repository at http://archive.ics.uci.edu/ml/index.html.

A.4.1 Classification

Iris Data Set.

http://archive.ics.uci.edu/ml/datasets/Iris

The Iris Data Set is a small data set often used in machine learning and data mining. It includes 150 data points each representing three different kinds of iris. The task is to learn to classify iris based on four