Free Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)

PDF Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)

PDF Data Analysis and Pattern Recognition in Multiple Databases (Intelligent Systems Reference Library)

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Book Details :
Published on: 2013-12-07
Released on:
Original language: English

Pattern recognition in data is a well known classical problem that falls under the ambit of data analysis. As we need to handle different data, the nature of patterns, their recognition and the types of data analyses are bound to change. Since the number of data collection channels increases in the recent time and becomes more diversified, many real-world data mining tasks can easily acquire multiple databases from various sources. In these cases, data mining becomes more challenging for several essential reasons. We may encounter sensitive data originating from different sources - those cannot be amalgamated. Even if we are allowed to place different data together, we are certainly not able to analyze them when local identities of patterns are required to be retained. Thus, pattern recognition in multiple databases gives rise to a suite of new, challenging problems different from those encountered before. Association rule mining, global pattern discovery and mining patterns of select items provide different patterns discovery techniques in multiple data sources. Some interesting item-based data analyses are also covered in this book. Interesting patterns, such as exceptional patterns, icebergs and periodic patterns have been recently reported. The book presents a thorough influence analysis between items in time-stamped databases. The recent research on mining multiple related databases is covered while some previous contributions to the area are highlighted and contrasted with the most recent developments. WatersTechnology Financial Information & Technology... Industry news commentary & analysis for financial information & technology professionals & market data & reference data managers in banks brokerages investment... Home - PubMed - NCBI PubMed comprises more than 26 million citations for biomedical literature from MEDLINE life science journals and online books. Citations may include links ... Speech Recognition Neuro AI Introduction; Fundamentals of Speech Recognition; Dynamic Time Warping Algorithm; Neural Network Approaches. Phoneme Classification. Static Approaches; Dynamic Approaches Topics in Statistical Data Analysis: Revealing Facts from Data Revealing Facts From Data. USA Site. This site offers information on statistical data analysis. It describes time series analysis popular distributions and other ... UCI Machine Learning Repository: Iris Data Set This is perhaps the best known database to be found in the pattern recognition literature. Fisher's paper is a classic in the field and is referenced frequently to ... ACM Journals/Transactions The ACM Transactions on Algorithms (TALG) publishes original research of the highest quality dealing with algorithms that are inherently discrete and finite and ... Big data - Wikipedia Big data is a term for data sets that are so large or complex that traditional data processing applications are inadequate to deal with them. Challenges include ... DeepLearning.University An Annotated Deep Learning ... Latent Structure. Exploring Latent Structure in Data: Algorithms and Implementations . Lattice. Permutohedral Lattice CNNs . Learning To Rank. Ranking with Recursive ... Data - Wikipedia Biological data; Data acquisition; Data analysis; Data cable; Dark data; Data domain; Data element; Data farming; Data governance; Data integrity; Data maintenance Text Data Management and Analysis: A Practical ... Text Data Management and Analysis: A Practical Introduction to Information Retrieval and Text Mining
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