Arama Sonuçları - "data mining"

Data mining : concepts and techniques / Yazar: Han Jiawei

Konular: “…Data mining. 273…”

Data mining : practical machine learning tools and techniques with Java implementations / Yazar: Witten, Ian H.

Konular: “…Data mining. 273…”

Data mining : practical machine learning tools and techniques / Yazar: Witten, I. H.

Konular: “…Data mining. 273…”

Life science data mining /

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Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM 2017 /

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Mobile Data Mining and Applications Yazar: Jiang, Hao, Chen, Qimei, Zeng, Yuanyuan, Li, Deshi

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Granular-Relational Data Mining How to Mine Relational Data in the Paradigm of Granular Computing? / Yazar: Hońko, Piotr

İçindekiler: “…Preface -- Chapter 1: Introduction -- Part I: Generalized Related Set Based Approach -- Chapter 2: Information System for Relational Data -- Chapter 3: Properties of Granular-Relational Data Mining Framework -- Chapter 4: Association Discovery and Classification Rule Mining -- Chapter 5: Rough-Granular Computing -- Part II: Description Language Based Approach -- Chapter 6: Compound Information Systems -- Chapter 7: From Granular-Data Mining Framework to its Relational Version -- Chapter 8: Relation-Based Granules -- Chapter 9: Compound Approximation Spaces -- Conclusions -- References -- Index.…”
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Computational Intelligence in Data Mining Proceedings of the International Conference on CIDM, 10-11 December 2016 /

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Data mining with SQL Server 2005 / Yazar: Tang, ZhaoHui

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Challenges in Computational Statistics and Data Mining

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Data mining and machine learning in computer engineering/ Yazar: Yavuz, Özerk

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Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 1 /

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Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 2 /

İçindekiler: “…The Study of Sentimental State of Human from Tweet Text -- Data Analytic Techniques with Hardware Based Encryption for High Profile Dataset -- Exploring Student Migration in Rural Region of Bangladesh -- Analysis on Lightning News And Correlation With Lightning Imaging Sensor (LIS) Data -- Design of Business Canvas Model for Social Media -- EEG Signal Analysis Using Different Clustering Techniques -- Viable Crop Prediction Scenario in Big Data Using a Novel Approach -- A Graph Based Approach on Extractive Summarization -- Promises and Challenges of Big Data in a Data Driven World -- A Proposed Approach for Improving Hadoop Performance For Handling Small Files -- Identification of the Recurrence of Breast Cancer by Discriminant Analysis -- Spam Detection in SMS based on Feature Selection Techniques -- Analysis and Design of an Efficient Temporal Data Mining Model for the Indian Stock Market -- Community Detection Methods in Social Network Analysis -- A Comparative Study on Cluster Analysis of Micro-Blogging Data.…”
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Recent Advances on Soft Computing and Data Mining Proceedings of the Third International Conference on Soft Computing and Data Mining (SCDM 2018), Johor, Malaysia, February 06-07, 2018 /

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Recent Advances on Soft Computing and Data Mining The Second International Conference on Soft Computing and Data Mining (SCDM-2016), Bandung, Indonesia, August 18-20, 2016 Proceedings /

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Computational Intelligence in Data Mining-Volume 2 Proceedings of the International Conference on CIDM, 5-6 December 2015 /

İçindekiler: “…Performance Analysis of Selected Data Mining Algorithms on Social Network Data and Discovery of User Latent Behavior -- Chapter 37. …”
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Computational Intelligence in Data Mining-Volume 1 Proceedings of the International Conference on CIDM, 5-6 December 2015 /

İçindekiler: “…Inference of Replanting in Forest Fire Affected Land Using Data Mining Technique -- Chapter 14. A New Approach on Color Image Encryption Using Arnold 4D Cat Map -- Chapter 15. …”
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Transparent Data Mining for Big and Small Data

İçindekiler: “…The Bright and Dark Sides of Data-Driven Decision-Making for Social Good -- Chapter 2: Enabling Accountability of Algorithmic Media: Transparency as a Constructive and Critical Lens -- Chapter 3: The Princeton Web Transparency and Accountability Project -- Part II: Algorithmic solutions -- Chapter 4: Algorithmic Transparency via Quantitative Input Influence -- Chapter 5 -- Learning Interpretable Classification Rules with Boolean Compressed Sensing -- Chapter 6: Visualizations of Deep Neural Networks in Computer Vision: A Survey -- Part III: Regulatory solutions -- Chapter 7: Beyond the EULA: Improving Consent for Data Mining -- Chapter 8: Regulating Algorithms Regulation? …”
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Innovations in Big Data Mining and Embedded Knowledge

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Emerging Technologies in Data Mining and Information Security Proceedings of IEMIS 2018, Volume 3 /

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