SAS Enterprise Miner

von SAS Institute

4 / 5 15 Bewertungen
SAS Enterprise Miner

Durchschnittliche Bewertung

15 Bewertungen
  • Gesamt 4 / 5
  • Benutzerfreundlichkeit 4 / 5
  • Kundenservice 4.5 / 5
  • Funktionen 4 / 5
  • Preis-Leistungs-Verhältnis 4 / 5

Produktdetails

  • Kostenlose Testversion Ja
  • Einsatz Cloud, SaaS, Web
    Installiert - Windows

Angaben zum Hersteller

  • SAS Institute
  • https://www.sas.com
  • Gegründet 1976

Über SAS Enterprise Miner

Data-Mining-Software mit automatisiertem Scoring, deskriptiver und prädiktiver Modellierung, Modellvergleich und Management.

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SAS Enterprise Miner Funktionen

  • Betrugserkennung
  • Datenextraktion
  • Datenvisualisierung
  • Maschinelles Lernen
  • Prädiktives Modellieren
  • Semantische Suche
  • Statistische Analyse
  • Text Mining
  • Verknüpfte-Daten-Management
  • AI / Maschinelles Lernen
  • Benchmarking
  • Data Mining
  • Daten-Vermischung
  • Empfindungsanalyse
  • Für die Bildung
  • Modellierung & Simulation
  • Nachfragevorhersage
  • für das Gesundheitswesen

Die hilfreichsten Reviews für SAS Enterprise Miner

I use SAS for many projects and its functionality is the best in some areas, not so great in others.

Mit Google übersetzen Bewertet am 9.5.2018
Holly O.
Assisant Professor of Measurement and Statistical Analysis, The Sanford School
Hochschulbildung
Verwendete die Software für: Mehr als 2 Jahre
Quelle des Nutzers 
4/5
Gesamt
5 / 5
Benutzerfreundlichkeit
4 / 5
Eigenschaften & Funktionalitäten
Kundenbetreuung
5 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Vorteile: I use SAS almost exclusively for data generation in quantitative projects - the functionality and ease of data generation can't be beat once proficiency is achieved. SAS is also my go-to software for fitting multilevel (hierarchical) models - it can do almost (not quite) everything I've ever needed, and uses minimal code to do so. I have been using SAS throughout my career and would say it is the program I'm most comfortable working in, even for data management (although the data management functionality is mediocre, see comments below).

Nachteile: Three things: graphs, data management, and structural equation models. The SAS graphics are so basic, it takes a lot of programming to get them to look even remotely presentable. That's not to say the capability isn't there, it just isn't worth the trouble when there are so many better programs that easily produce beautiful plots. It's a pain to transfer between programs when I've done everything else in SAS to produce the graphics elsewhere. Also, data management in SAS is notoriously underwhelming. I would love to see some increased functionality in data management. Finally, SAS has (in my view) limited capability to fit structural equation models compared to other comparable programs - I'd use Mplus (popular in social sciences) or R to fit and interpret SEMs over SAS any day.

SAS for Data Mining techniques!

Mit Google übersetzen Bewertet am 27.3.2019
Student
Informationstechnologie & -dienste, 1.001-5.000 Mitarbeiter
Verwendete die Software für: 6-12 Monate
Quelle des Nutzers 
4/5
Gesamt
4 / 5
Benutzerfreundlichkeit
5 / 5
Eigenschaften & Funktionalitäten
4 / 5
Kundenbetreuung
3 / 5
Preis-Leistungs-Verhältnis
Wahrscheinlichkeit der Weiterempfehlung:
Unwahrscheinlich Äußerst wahrscheinlich

Kommentare: I am a student and have been learning this software from the past 2 months, so I am using it for my lecture assignments and a major project for this semester.

Vorteile: 1. It is a superb tool for learning data mining and predictive analysis of data.
2. The tool allows you to understand, summarize and explore the data using multiple modelling techniques like linear regression, neural networks, association rules and clustering etc.
3. Personally, I understood the concept of decision trees easily while using the tool rather than just reading through the book provided during the lecture.
4. It also gives you details statistics information related to the data which can be easily understood by the various chart features available in it.
5. User Interface seems to be typical old software but it is easy to use once you understand it.

Nachteile: 1. Data Source response time: I have noticed this issue so far that after you create the data source in a new project, it doesn't appear simultaneously on the left side menu. At times, you have to close the enterprise miner and reopen/refresh the project to see it in the menu above diagrams.
2. Value for money: I feel it is costly for students and yeah it also comes with license issues apart from the price paid to buy it.
3. Learning: It takes hours of efforts and training to learn the software. Not easy to learn in a week or so.

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