Abstract
Now, we are equipped with all necessary software tools for data analysis, a systematic process of understanding surrounding our world by means of collecting data, inspecting data, and discovering useful information. Data mining is a part of the process of data analysis. Unlike the latter, data mining focuses on data classification, knowledge discovery, and predictions.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
Cranshaw J et al (2008) A data skimming service for locally resident analysis data. J Phys (Conf Ser) 119:072011
Taylor T et al (2006) Human chromosome 11 DNA sequence and analysis including novel gene identification. Nature 440:495
De Wolf EA, Dremin IM, Kittel W (1996) Scaling laws for density correlations and fluctuations in multiparticle dynamics. Phys Rep 270:1–141
Chekanov SV, Kuvshinov VI (1994) Bunching parameter and intermittency in high-energy collisions. Acta Phys Pol B 25:1189
Chekanov SV, Kittel W, Kuvshinov VI (1997) Generalized bunching parameters and multiplicity fluctuations in restricted phase-space bins. Z Phys C 74:517
Bialas A, Peschanski RB (1986) Moments of Rapidity Distributions as a Measure of Short Range Fluctuations in High-Energy Collisions. Nucl Phys B 273:703
Bialas A, Peschanski RB (1988) Intermittency in multiparticle production at high-energy. Nucl Phys B 308:857
ADC, Astronimical data center, access to astronomy data and catalogs. http://adc.astro.umd.edu/
Eidelman S et al (2004) Review of particle physics. Phys Lett B 592:1
Chew GF, Frautschi SC (1961) Principle of equivalence for all strongly interacting particles within the s matrix framework. Phys Rev Lett 7:394–397
Chew GF, Frautschi SC (1962) Regge trajectories and the principle of maximum strength for strong interactions. Phys Rev Lett 8:41–44
Frautschi S (1968) Regge poles and S-matrix theory. Benjamin, New York
Anisovich V et al (2004) Quark models and high energy collisions. World Scientific Publishing Co., Pte. Ltd, Engelska
Chekanov SV, Levchenko BB (2007) Regularities in hadron systematics, Regge trajectories and a string quark model. Phys Rev D 75:014007
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
Copyright information
© 2016 Springer International Publishing Switzerland
About this chapter
Cite this chapter
Chekanov, S.V. (2016). Data Analysis and Data Mining. In: Numeric Computation and Statistical Data Analysis on the Java Platform. Advanced Information and Knowledge Processing. Springer, Cham. https://doi.org/10.1007/978-3-319-28531-3_12
Download citation
DOI: https://doi.org/10.1007/978-3-319-28531-3_12
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-28529-0
Online ISBN: 978-3-319-28531-3
eBook Packages: Computer ScienceComputer Science (R0)