EDBT 2016 - PDF Preprint Papers

EDBT 2016 International Conference on Extending Database Technology

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EDBT
2016
ACM

106views Database» more EDBT 2016»

Data Wrangling for Big Data: Challenges and Opportunities

8 years 7 months ago

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Data wrangling is the process by which the data required by an application is identiﬁed, extracted, cleaned and integrated, to yield a data set that is suitable for exploration ...

Tim Furche, Georg Gottlob, Leonid Libkin, Giorgio ...

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Id	Views	Title	Status

1	106	Data Wrangling for Big Data: Challenges and Opportunities	claim
2	100	DeMand: A Tool for Evaluating and Comparing Device-Level Demand and Supply Forecast Models	claim
3	90	Answering Keyword Queries involving Aggregates and GROUPBY on Relational Databases	claim
4	82	OSNI: Searching for Needles in a Haystack of Social Network Data	claim
5	81	Distance-based Multimedia Indexing	claim
6	69	RDF-TX: A Fast, User-Friendly System for Querying the History of RDF Knowledge Bases	claim
7	64	Summarizing Linked Data RDF Graphs Using Approximate Graph Pattern Mining	claim
8	63	Big Data Provenance: State-Of-The-Art Analysis and Emerging Research Challenges	claim
9	61	Optimizing B+-Tree for PCM-Based Hybrid Memory	claim
10	61	Minoan ER: Progressive Entity Resolution in the Web of Data	claim
11	59	Towards Privacy-preserving Mobile Location Analytics	claim
12	59	On-Line Mobility Pattern Discovering using Trajectory Data	claim
13	58	streamLoader: An Event-Driven ETL System for the On-line Processing of Heterogeneous Sensor Data	claim
14	55	Data Responsibly: Fairness, Neutrality and Transparency in Data Analysis	claim
15	53	A Two Phase Deep Learning Model for Identifying Discrimination from Tweets	claim
16	53	Cluster-based Contextual Recommendations	claim
17	53	Practical Query Answering in Data Exchange Under Inconsistency-Tolerant Semantics	claim
18	51	CrowdSky: Skyline Computation with Crowdsourcing	claim
19	50	Social, Structured and Semantic Search	claim
20	48	Using Robust Estimation Theory to Design Efficient Secure Multiparty Linear Regression	claim
21	48	Identifying and Describing Streets of Interest	claim
22	47	Context-Dependent Quality-Aware Source Selection for Live Queries on Linked Data	claim
23	47	Core Decomposition in Graphs: Concepts, Algorithms and Applications	claim
24	47	Maximum Coverage Representative Skyline	claim
25	44	A Comprehensive Sanitization Approach for Workflow Provenance Graphs	claim
26	44	DIONYSUS: Towards Query-aware Distributed Processing of RDF Graph Streams	claim
27	44	DBExplorer: Exploratory Search in Databases	claim
28	44	Context-Aware Event Stream Analytics	claim
29	44	Data Management System for Energy Analytics and its Application to Forecasting	claim
30	44	Reverse Engineering Top-k Database Queries with PALEO	claim
31	43	Semi-automatic support for evolving functional dependencies	claim
32	42	DECT: Distributed Evolving Context Tree for Mining Web Behavior Evolution	claim
33	41	Efficient Implementation of Joins over Cassandra DBs	claim
34	41	Discovering Correlations in Annotated Databases	claim
35	41	Using Randomized Response for Differential Privacy Preserving Data Collection	claim
36	41	Proposal of a Database Type and Aggregation Function for Accelerating Medical Genomics Study on RDBMS	claim
37	41	Providing Serializability for Pregel-like Graph Processing Systems	claim
38	40	Querying RDF Data Using A Multigraph-based Approach	claim
39	39	Type-aware Web-search	claim
40	39	Revisiting DBMS Space Management for Native Flash	claim
41	39	e#: Sharper Expertise Detection from Microblogs	claim
42	38	Extending Database Accelerators for Data Transformations and Predictive Analytics	claim
43	38	Monitoring MaxRS in Spatial Data Streams	claim
44	37	Slowing the Firehose: Multi-Dimensional Diversity on Social Post Streams	claim
45	37	Model Kit for Lightweight Data Compression Algorithms	claim
46	37	Understanding Customer Attrition at an Individual Level: a New Model in Grocery Retail Context	claim
47	37	Indexing and Querying A Large Database of Typed Intervals	claim
48	36	Finding Users of Interest in Micro-blogging Systems	claim
49	35	Scaling Entity Resolution to Large, Heterogeneous Data with Enhanced Meta-blocking	claim
50	34	Understanding Ontology Evolution Beyond Deltas	claim
51	33	Finding and Fixing Type Mismatches in the Evolution of Object-NoSQL Mappings	claim
52	33	Sweet KIWI: Statistics-Driven OLAP Acceleration using Query Column Sets	claim
53	33	Double Chain-Star: an RDF indexing scheme for fast processing of SPARQL joins	claim
54	32	GSCALER: Synthetically Scaling A Given Graph	claim
55	30	GROM: a General Rewriter of Semantic Mappings	claim

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