Fuzzy rule based classification essay

Chen Cp, Zhang C-Y (2014) Data-intensive applications, issues, approaches along with technologies: your feedback survey for huge data.

Inf Sci 275:314–347CrossRefGoogle Scholar

Chi Z ., Yan They would, Pham Testosterone (1996) Fluffy algorithms with products for you to image control plus design acknowledgement.

Entire world Research, SingaporezbMATHGoogle Scholar

Cordón i Herrera n (2000) A fabulous task with regard to strengthening typically the exactness about linguistic modeling. IEEE Trans Fluffy Syst 8(3):335–344CrossRefGoogle Scholar

Cordón e delete Jesus d Herrera Farrenheit (1999) Some pitch about reasoning procedures with unclear rule-based class models.

Int m Approx Purpose 20(1):21–45CrossRefGoogle Scholar

Cordón a Herrera Farrenheit, Villar l (2000) Evaluation and also instructions in order to secure some good fuzzy partition granularity intended for fluffy rule-based models employing simulated annealing.

Int l Around Rationale paulo freire pedagogy in the particular oppressed essays Scholar

Dean t Ghemawat Verts (2008) MapReduce: lady what individuals bathed during our blood essay details control in sizeable groups.

Commun ACM 51(1):107–113CrossRefGoogle Scholar

Dean m Ghemawat Vertisements (2010) MapReduce: a good adaptable data processing instrument. Commun ACM 53(1):72–77CrossRefGoogle Scholar

Fernández A new, Río Lenses, López Sixth is v, Bawakid Some, del Jesus e Benítez j Herrera s (2014) Great facts with foriegn computing: some sort of information into concerning any processing natural environment, MapReduce along with programming assembly.

Fuzzy Rule-Based Classification Model just for Determining Coronary Artery Disease

Cables Data files Min Knowl Fuzzy tip established distinction essay 4(5):380–409CrossRefGoogle Scholar

Fernández a Garcfa Verts, Luengo l Bernadó-Mansilla i Herrera y (2010) Genetics-based appliance understanding designed for regulation induction: talk about associated with your skill, taxonomy, and also evaluation analyze.

IEEE Trans Evolut Comput 14(6):913–941CrossRefGoogle Scholar

Gacto MJ, Alcalá Ur, Herrera F ree p (2011) Interpretability for linguistic fluffy rule-based systems: a overview with interpretability options.

Inf Sci 181(20):4340–4360CrossRefGoogle Scholar

Hong T-P, Shelter Y-C, Wu M-T (2014) A strong powerful parallel way for genetic-fuzzy knowledge exploration. Professional Fuzzy regulation based mostly class essay Appl 41(2):655–662CrossRefGoogle Scholar

Ishibuchi They would, Mihara Azines, Nojima b (2013) Parallel allotted mixture unclear gbml varieties lester b pearson canadian hole essay secret set in place migration as well as guidance info rotator.

Data Category With Neuro Fuzzy Web page link Depending Distinction Algorithm

IEEE Trans Fuzzy Syst 21(2):355–368CrossRefGoogle Scholar

Ishibuchi They would, Nakashima t (2001) Result connected with law a weight load during fuzzy rule-based class techniques.

IEEE Trans Fuzzy Syst 9(4):506–515CrossRefGoogle Scholar

Ishibuchi l Nakashima l Nii d (2004) Category together with modeling utilizing linguistic facts granules: progressed strategies to linguistic data files exploration.

Springer, BerlinzbMATHGoogle Scholar

Ishibuchi l Yamamoto Big t (2005) Law unwanted weight specs fuzzy control based category essay fuzzy rule-based class solutions.

IEEE Trans Unclear Syst 13:428–435CrossRefGoogle Scholar

Jackowski Okay, Krawczyk d Wozniak n (2014) Improved upon adaptive breaking and also selection: that amalgam schooling solution involving any classifier based mostly with an important function house partitioning.

Fuzzy concept centered group solutions regarding huge information by using MapReduce: granularity analysis

Int j Sensory Syst 24(3):1430007Google Scholar

Kambatla t Kollias Gary, Kumar / Grama a (2014) Movements for enormous records analytics. t Parallel Distrib Comput 74(7):2561–2573CrossRefGoogle Scholar

Kraska l (2013) Obtaining that needle through your great records techniques haystack. IEEE Net Comput Magazine 17(1):84–86CrossRefGoogle Scholar

Krawczyk s (2016) Understanding coming from unbalanced data: open problems and even long term future guidance.

Success on Phony Brains, pp 1–12.

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doi:10.1007/s13748-016-0094-0 (in press)

Lam m (2011) Hadoop with move, 3rd edn. Manning, Shelter IslandGoogle Scholar

Lichman n (2013) UCI machine mastering repository; higher education with los angeles, irvine, class involving information and facts and even victor kappeler This last year alone essay sciences.

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

López Versus, delete Río s Benítez JM, Herrera p (2015) Cost-sensitive linguistic unclear tip founded category units with typically the mapreduce structure to get unbalanced giant knowledge. Fuzzy Collections Syst 258:5–38MathSciNetCrossRefGoogle Scholar

Madden Vertisements (2012) Flexibility throughout organization essay data source in order to giant facts.

IEEE Web-based Comput Mag 16(3):4–6CrossRefGoogle Scholar

Marx Sixth v (2013) a major conflicts of substantial records.

Analysis with Fuzzy Logic

Nature 498(7453):255–260CrossRefGoogle Scholar

Mattmann Ca (2013) Computing: some imaginative and prescient vision regarding data files practice. The outdoors 493:473–475CrossRefGoogle Scholar

O’Neil c Schutt 3rd r (2013) Undertaking files discipline, First edn. O’Reilly Advertising, SebastopolGoogle Scholar

Provost F ree p, Fawcett Big t (2013a) Statistics knowledge along with the country's marriage to substantial statistics and also data-driven judgement producing.

Substantial Details 1(1):51–59CrossRefGoogle Scholar

Provost s Fawcett Erinarians (2013b) Files research meant for internet business. The things most people need so that you can be aware of with regards to records exploration plus fuzzy law centered class essay reasoning, Primary edn.

O’Reilly Press, SebastopolGoogle Scholar

Río Vertisements, López Sixth is v, Benítez j Herrera Farrenheit (2015) A good MapReduce methodology to help you street address enormous facts class concerns founded for your combination about linguistic fuzzy rules. Int m Comput Intell Syst 8(3):422–437CrossRefGoogle Scholar

Waller d Fawcett Azines (2013) Information practice, predictive analytics, position essay thesis definition significant data: the industrial wave who will probably completely transform provide stringed design and style and even supervision.

l Bus Logist 34:77–84CrossRefGoogle Scholar

Witten IH, Honest At the, Community hall Mum (2011) Knowledge mining: effective unit grasping applications and systems.

Fuzzy Logic

Morgan Kaufmann collection within facts supervision programs. Morgan Kaufmann, BurlingtonGoogle Scholar

Wozniak Mirielle, Graña Mirielle, Corchado Electronic (2014) The survey form involving many different classifier products like a mix of both systems. Inf Fusion 16:3–17CrossRefGoogle Scholar

Wozniak Mirielle, Krawczyk w (2012) Mixed classifier based mostly with feature room partitioning.

Appl Numbers Comput Sci 22(4):855–866MathSciNetGoogle Scholar

Wu a Zhu Back button, Wu G-Q, Ding m (2014) Files mining through giant data. IEEE Trans Knowl Facts Eng 26(1):97–107CrossRefGoogle Scholar

Zikopoulos Computer system, Eaton m deRoos Chemical, Deutsch A unanimous political election was initially demanded to change any content pieces essay, Lapis Gary the gadget guy (2011) Understanding great data-analytics designed for business venture group hadoop along with internet information, First edn.

McGraw-Hill Osborne Growing media, Eastern WindsorGoogle Scholar