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Content aggregation in natural language hypertext summarization of OLAP and data mining discoveries

Jacques Robin, Eloi L. Favero
2000 Proceedings of the first international conference on Natural language generation - INLG '00  
We present a new approach to paratactic content aggregation in the context of generating hypertext summaries of OLAP and data mining discoveries.  ...  a data structure that abstracts from lexical and syntactic knowledge.  ...  The HYSSOP natural language hypertext summary generator To our knowledge, the development of HYSSOP is pioneer work in coupling OLAP and data mining with natural language generation, Fig. 2 .  ... 
doi:10.3115/1118253.1118271 dblp:conf/inlg/RobinF00 fatcat:ixyuxiwkizejvib75j5cj4zzoi

Integration and dimensional modeling approaches for complex data warehousing

O. Boussaid, Adrian Tanasescu, Fadila Bentayeb, Jérôme Darmont
2006 Journal of Global Optimization  
We propose an approach that exploits data mining techniques to assist users in building relevant dimensional models.  ...  A data warehousing approach is often adopted to prepare data for relevant analysis. Data integration and dimensional modeling indeed allow the creation of appropriate analysis contexts.  ...  This preparation consists of aggregating data to reduce their huge volume and summarize the information contained in the data.  ... 
doi:10.1007/s10898-006-9064-6 fatcat:3j7a775airddbdnbym2wrkrsky

Construing the big data based on taxonomy, analytics and approaches

Ajeet Ram Pathak, Manjusha Pandey, Siddharth Rautaray
2018 Iran Journal of Computer Science  
Big data have become an important asset due to its immense power hidden in analytics.  ...  Every organization is inundated with colossal amount of data generated with high speed, requiring high-performance resources for storage and processing, special skills and technologies to get value out  ...  Analyzing the feasibility of OLAP queries (SQL aggregations like sum, min, max, etc.) on big data is termed as small analytics in [48] .  ... 
doi:10.1007/s42044-018-0024-3 fatcat:teiovluolngepjyebzz2wnwjxu

Web mining in soft computing framework: relevance, state of the art and future directions

S.K. Pal, V. Talwar, P. Mitra
2002 IEEE Transactions on Neural Networks  
This paper summarizes the different characteristics of web data, the basic components of web mining and its different types, and their current states of the art.  ...  Index Terms-Artificial neural networks (ANNs), data mining, fuzzy logic (FL), genetic algorithms (GAs), information retrieval (IR), knowledge discovery, pattern recognition, rough sets (RSs), search engines  ...  Out of these, research at present is mostly centered around text and hypertext contents.  ... 
doi:10.1109/tnn.2002.1031947 pmid:18244512 fatcat:a2ea5nfnczgjlpwsbwe6ebt5hi

Discovering geographic knowledge in data rich environments

Harvey J. Miller, Jiawei Han
2000 SIGKDD Explorations  
This research report summarizes the activities surrounding the Project Varenius workshop on "Geographic knowledge discovery in data-rich environments."  ...  The increasing volume and diverse nature of digital geographic data easily overwhelm mainstream spatial analysis techniques that are oriented towards teasing scarce information from small and homogenous  ...  The Co-leaders and Steering Committee for the GKD workshop that reflected these diverse stakeholders:  ... 
doi:10.1145/846183.846208 fatcat:tnjb5v2ecfczlhk6bxstxdgcxy

Design and Development of a Compound DSS for Laboratory Research [chapter]

Tomas Hujer
2011 Efficient Decision Support Systems - Practice and Challenges From Current to Future  
The data in data store are summarized and arranged in structures optimized for analysis and fast retrieval of data.  ...  First, the data have to be aggregated for further analysis, for instance using OLAP; second, the data have to be refined and consolidate for use in the neural network system.  ...  The book is shaped upon decision support strategies in the new infrastructure that assists the readers in full use of the creative technology to manipulate input data and to transform information into  ... 
doi:10.5772/16720 fatcat:dmreok5gvndoplyce47sbcxafi

Detecting Credit Card Fraud using Data Mining Techniques - Meta-Learning

T. Abdul Razak, G. Najeeb Ahmed
2015 Indian Journal of Science and Technology  
Data mining and machine learning techniques help us to better and deeper understanding of collected data.  ...  This paper focus on general overview of basic data mining, machine learning and meta-learning techniques, while focusing on state-of-the-art, basic formalisms and principles, interesting applications and  ...  Data Mining and Machine Learning Process of Data Mining The term Data Mining is also referred as "Knowledge Discovery from Data (KDD)".  ... 
doi:10.17485/ijst/2015/v8i28/83326 fatcat:bj6rpfck3vfwpo6d5sm5i2ezk4

Personalizing Interactions with Information Systems [chapter]

Saverio Perugini, Naren Ramakrishnan
2003 Advances in Computers  
It can be defined as the automatic adjustment of information content, structure, and presentation tailored to the individual.  ...  In this chapter, we study personalization from the viewpoint of personalizing interaction.  ...  Projects such as Control lie within the scope of data warehousing and OLAP.  ... 
doi:10.1016/s0065-2458(03)57007-3 fatcat:rdooy2c4gnfajgvu246kjzm2ja

Semantic Web Mining. State of the Art and Future Directions

Gerd Stumme, Andreas Hotho, Bettina Berendt
2006 Social Science Research Network  
Given the primarily syntactical nature of the data being mined, the discovery of meaning is impossible based on these data only.  ...  This survey analyzes the convergence of trends from both areas: More and more researchers are working on improving the results of Web Mining by exploiting semantic structures in the Web, and they make  ...  They are closely related to Web content mining using semantics because in both Web content mining and text summarization, natural language text needs to be mapped into an abstract representation.  ... 
doi:10.2139/ssrn.3199332 fatcat:k4byg7k2efe3nla67b6f6ci22m

SocialScope: Enabling Information Discovery on Social Content Sites [article]

Sihem Amer-Yahia, Cong Yu
2009 arXiv   pre-print
The content management layer is responsible for integrating, maintaining and physically accessing the content and social data.  ...  The integration of content and social information raises new challenges for information management and discovery over such sites.  ...  Amann and Scholl [4] proposed the Gram model and language for querying hypertext data modeled as graphs. The language includes limited support for recursion.  ... 
arXiv:0909.2058v1 fatcat:dcc2knruj5ba3dwa2qanhawd5y

Web Intelligence (WI) Research Challenges and Trends in the New Information Age [chapter]

Y. Y. Yao, Ning Zhong, Jiming Liu, Setsuo Ohsuga
2001 Lecture Notes in Computer Science  
Background information and related topics are discussed in an attempt to demonstrate why we consider WI to be a subject worthy of study and, at the same time, to establish a starting point for the further  ...  We try to explain the needs for coining the term as a sub-discipline of computer science for systematic studies on advanced Web related theories and technologies, as well as the design and implementation  ...  -Web Mining and Farming: • data mining and knowledge discovery, • hypertext analysis and transformation, • learning user profiles, • multimedia data mining, • regularities in Web surfing and Internet congestion  ... 
doi:10.1007/3-540-45490-x_1 fatcat:tnsgpajttvguxgtj77yuqdi5d4

Combining mining and visualization tools to discover the geographic structure of a domain

Josiane Mothe, Claude Chrisment, Taoufiq Dkaki, Bernard Dousset, Saïd Karouach
2006 Computers, Environment and Urban Systems  
Tétralogie consists of several agents that communicate with each other on users' demands in order to deliver results to them. Metadata and document content are extracted before being mined.  ...  Science monitoring is a core issue in the new world of business and research.  ...  In the same way, hypertext references are mined in the web context, to determine the authority of the pages and to re-rank retrieved pages (Kleinberg, 1998) .  ... 
doi:10.1016/j.compenvurbsys.2005.09.004 fatcat:px7nv4vw7ja5fcp5a2xiweua3a

The Anatomy of Big Data Computing [article]

Raghavendra Kune, Pramodkumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2015 arXiv   pre-print
Knowledge discovery and decision making from such rapidly growing voluminous data is a challenging task in terms of data organization and processing, which is an emerging trend known as Big Data Computing  ...  Advances in information technology and its widespread growth in several areas of business, engineering, medical and scientific studies are resulting in information/data explosion.  ...  Acknowledgements We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of paper.  ... 
arXiv:1509.01331v1 fatcat:vqea74fgk5h5jpapwaaplvhuda

Toward Scalable Systems for Big Data Analytics: A Technology Tutorial

Han Hu, Yonggang Wen, Tat-Seng Chua, Xuelong Li
2014 IEEE Access  
Recent technological advancements have led to a deluge of data from distinctive domains (e.g., health care and scientific sensors, user-generated data, Internet and financial companies, and supply chain  ...  Web content mining is the discovery of useful information or knowledge from website content.  ...  Because most of the web content data are unstructured text data, much of the research effort is centered on text and hypertext content. Text mining is a well-developed subject, as described above.  ... 
doi:10.1109/access.2014.2332453 fatcat:6unxlocbmnhs7mfctlvphdyqtu

The anatomy of big data computing

Raghavendra Kune, Pramod Kumar Konugurthi, Arun Agarwal, Raghavendra Rao Chillarige, Rajkumar Buyya
2015 Software, Practice & Experience  
Knowledge discovery and decision-making from such rapidly growing voluminous data are a challenging task in terms of data organization and processing, which is an emerging trend known as big data computing  ...  Advances in information technology and its widespread growth in several areas of business, engineering, medical, and scientific studies are resulting in information/data explosion.  ...  ACKNOWLEDGEMENTS We thank Rodrigo Calheiros, Nikolay Grozev, Amir Vahid, and Harshit Gupta for their comments and suggestions on improving the quality of the paper.  ... 
doi:10.1002/spe.2374 fatcat:pe57kzvunrf7blpbm7cpwliysu
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