Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web最新文献

CourseNavigator: interactive learning path exploration CourseNavigator:交互式学习路径探索

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948676

Zhan Li, Olga Papaemmanouil, G. Koutrika

{"title":"CourseNavigator: interactive learning path exploration","authors":"Zhan Li, Olga Papaemmanouil, G. Koutrika","doi":"10.1145/2948674.2948676","DOIUrl":"https://doi.org/10.1145/2948674.2948676","url":null,"abstract":"Course selection decision making is an extremely tedious task that needs to consider course prerequisites, degree requirements, class schedules, as well as the student's preferences and constraints. As a result, students often make short term decisions based on imprecise information without deep understanding of the longer-term impact on their education goal and in most cases without good understanding of the alternative options. In this paper, we introduce CourseNavigator, a new course exploration service that attempts to address the course exploration challenge. Our service identifies all possible course selection options for a given academic period, referred to as learning paths, that can meet the student's customized goals and constraints. CourseNavigator offers a suite of learning path generation algorithms designed to meet a range of course exploration end-goals such as learning paths for a given period and desired degree as well as the highest ranked paths based on user-defined ranking functions. Our techniques rely on a graph-search algorithm for enumerating candidate learning paths and employ a number of strategies (i.e., early detection of dead-end paths, limiting the exploration to strategic course selections) for improving the exploration efficiency.","PeriodicalId":165112,"journal":{"name":"Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123854685","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 9

Data exploration: a roll call of all user-data interaction functionality 数据探索:所有用户数据交互功能的一个点名

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2955105

Anna Gogolou, Marialena Kyriakidi, Y. Ioannidis

引用次数: 2

Unifying data exploration and curation 统一数据探索和管理

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948680

S. Huang

{"title":"Unifying data exploration and curation","authors":"S. Huang","doi":"10.1145/2948674.2948680","DOIUrl":"https://doi.org/10.1145/2948674.2948680","url":null,"abstract":"Recent years have seen a surge in \"self-service\" business intelligence tools. These tools primarily focus on supporting decision-making by non-technical \"end users\", through data exploration -- the querying of data and inspection of results. Exploration, however, is only part of the story. Curation is its complement. Curation is the ability to organize data into structures that are meaningful for a particular problem domain and convenient for building further explorations upon. Curation is also the ability to modify data, as well as creating new data through rules and constraints, in order to support what-if's, forecasting, and planning for the future. Exploration and curation often need to interleave in the decision-making process of an end-user. In this talk, we discuss the LogicBlox Modeler, a unifying environment that provides support for both exploration and curation. We motivate the need for a unifying environment through applications in government, major financial institutions, and large global retailers. We discuss our language -- in its visual and textual representations -- that supports not only querying, but also the creation and modification of schema and data. We discuss the challenges imposed on the database runtime by the use cases of exploration and curation at scale and aspects of the LogicBlox database designed to meet these challenges.","PeriodicalId":165112,"journal":{"name":"Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web","volume":"443 ","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131691484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Multiple diagram navigation (MDN) 多图导航(MDN)

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948678

Hisham Benotman, L. Delcambre, D. Maier

引用次数: 1

Collection, exploration and analysis of crowdfunding social networks 众筹社交网络的收集、探索与分析

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948679

Miao Cheng, Anand Sriramulu, S. Muralidhar, B. T. Loo, Laura Huang, Po-Ling Loh

{"title":"Collection, exploration and analysis of crowdfunding social networks","authors":"Miao Cheng, Anand Sriramulu, S. Muralidhar, B. T. Loo, Laura Huang, Po-Ling Loh","doi":"10.1145/2948674.2948679","DOIUrl":"https://doi.org/10.1145/2948674.2948679","url":null,"abstract":"Crowdfunding is a recent financing phenomenon that is gaining wide popularity as a means for startups to raise seed funding for their companies. This paper presents our initial results at understanding this phenomenon using an exploratory data driven approach. We have developed a big data platform for collecting and managing data from multiple sources, including company profiles (CrunchBase and AngelList) and social networks (Facebook and Twitter). We describe our data collection process that allows us to gather data from diverse sources at high throughput. Using Spark as our analysis tool, we study the impact of social engagement on startup fund raising success. We further define novel metrics that allow us to quantify the behavior of investors to follow and make investment decisions as communities rather than individuals. Finally, we explore visualization techniques that allow us to visualize communities of investors that make decisions in a close-knit fashion vs looser communities where investors largely make independent decisions. We conclude with a discussion on our ongoing research on causality analysis and new community detection algorithms.","PeriodicalId":165112,"journal":{"name":"Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133812457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Towards large-scale data discovery: position paper 迈向大规模数据发现:立场文件

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948675

R. Fernandez, Ziawasch Abedjan, S. Madden, M. Stonebraker

引用次数: 11

Space odyssey: efficient exploration of scientific data 太空漫游:科学数据的有效探索

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948677

Mirjana Pavlovic, Eleni Tzirita Zacharatou, Darius Sidlauskas, T. Heinis, A. Ailamaki

{"title":"Space odyssey: efficient exploration of scientific data","authors":"Mirjana Pavlovic, Eleni Tzirita Zacharatou, Darius Sidlauskas, T. Heinis, A. Ailamaki","doi":"10.1145/2948674.2948677","DOIUrl":"https://doi.org/10.1145/2948674.2948677","url":null,"abstract":"Advances in data acquisition---through more powerful supercomputers for simulation or sensors with better resolution---help scientists tremendously to understand natural phenomena. At the same time, however, it leaves them with a plethora of data and the challenge of analysing it. Ingesting all the data in a database or indexing it for an efficient analysis is unlikely to pay off because scientists rarely need to analyse all data. Not knowing a priori what parts of the datasets need to be analysed makes the problem challenging. Tools and methods to analyse only subsets of this data are rather rare. In this paper we therefore present Space Odyssey, a novel approach enabling scientists to efficiently explore multiple spatial datasets of massive size. Without any prior information, Space Odyssey incrementally indexes the datasets and optimizes the access to datasets frequently queried together. As our experiments show, through incrementally indexing and changing the data layout on disk, Space Odyssey accelerates exploratory analysis of spatial data by substantially reducing query-to-insight time compared to the state of the art.","PeriodicalId":165112,"journal":{"name":"Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131509976","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 7

Why would you recommend me that!? 你为什么要推荐我那个?

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 2016-06-26 DOI: 10.1145/2948674.2948681

Aish Fenton

引用次数: 0

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web 第三届数据库和网络探索性搜索国际研讨会论文集

Proceedings of the Third International Workshop on Exploratory Search in Databases and the Web Pub Date : 1900-01-01 DOI: 10.1145/2948674

引用次数: 0