Clustering algorithms like k-means, BIRCH, CLARANS and DBSCAN are designed to be scalable and they are developed to discover clusters in the full dimensional space of a database. Nevertheless their characteristics depend upon the size of the database. A database/data warehouse may store terabytes of data. Complex data analysis (mining) may take a very long time to run on the complex dataset. One has to obtain a reduced representation of the dataset that is much smaller in volume—but yet produces the same or almost the same analytical results—in order to accelerate information processing. Reduced repre- sentations yield simplified models that are easier to interpret, avoid the curse of dimensionality and enhance generalization by reducing overfitting. Data reduction methods include data cube aggregation, attribute subset selection, fitting data into models, dimensionality reduction, hierarchies as well as other approaches. On the other hand, data-dependent partitions—like the Gessaman’s partition and tree-quantization partition—allow for processing different partitions of a dataset separately. Hence parallel processing may be used as an option for big data. Online analytical processing is a practical approach that deals with multi-dimensional queries in DB management. Feature selection is considered as a specific case of a more general paradigm which is
Evolving Systems – Springer Journals
Published: Jun 4, 2018
It’s your single place to instantly
discover and read the research
that matters to you.
Enjoy affordable access to
over 18 million articles from more than
15,000 peer-reviewed journals.
All for just $49/month
Query the DeepDyve database, plus search all of PubMed and Google Scholar seamlessly
Save any article or search result from DeepDyve, PubMed, and Google Scholar... all in one place.
Get unlimited, online access to over 18 million full-text articles from more than 15,000 scientific journals.
Read from thousands of the leading scholarly journals from SpringerNature, Elsevier, Wiley-Blackwell, Oxford University Press and more.
All the latest content is available, no embargo periods.
“Hi guys, I cannot tell you how much I love this resource. Incredible. I really believe you've hit the nail on the head with this site in regards to solving the research-purchase issue.”Daniel C.
“Whoa! It’s like Spotify but for academic articles.”@Phil_Robichaud
“I must say, @deepdyve is a fabulous solution to the independent researcher's problem of #access to #information.”@deepthiw
“My last article couldn't be possible without the platform @deepdyve that makes journal papers cheaper.”@JoseServera