國立高雄大學圖資館 |

語系: 繁體中文

說明(常見問題)

圖資館首頁

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Big data analytics in U.S. courtsuse...

Cavazos, Roberto.

Big data analytics in U.S. courtsuses, challenges, and implications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Big data analytics in U.S. courtsby Dwight Steward, Roberto Cavazos.
其他題名:	uses, challenges, and implications /
作者:	Steward, Dwight.
其他作者:	Cavazos, Roberto.
出版者:	Cham :Springer International Publishing :2019.
面頁冊數:	vii, 86 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
標題:	Electronic evidenceUnited States.
電子資源:	https://doi.org/10.1007/978-3-030-31780-5
ISBN:	9783030317805$q(electronic bk.)

Big data analytics in U.S. courtsuses, challenges, and implications /
Steward, Dwight.

Big data analytics in U.S. courtsuses, challenges, and implications /[electronic resource] :by Dwight Steward, Roberto Cavazos. - Cham :Springer International Publishing :2019. - vii, 86 p. :ill., digital ;24 cm. - Palgrave advances in the economics of innovation and technology,2662-3862. - Palgrave advances in the economics of innovation and technology..

1. Data Analytics and Litigation -- 2. History of Data Analysis in US Courts -- 3. Examples of Litigation Involving Big Data Analytics -- 4. The Courts as Gatekeeper of Big Data Evidence -- 5. Indirect Use of Big Data Analytics in US Courts -- 6. Future Challenges and Recommendations.

This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.

ISBN: 9783030317805$q(electronic bk.)

Standard No.: 10.1007/978-3-030-31780-5doiSubjects--Topical Terms:

855435
Electronic evidence
--United States.

LC Class. No.: KF8947.5 / .S74 2019

Dewey Class. No.: 347.736

Big data analytics in U.S. courtsuses, challenges, and implications /
LDR:02533nmm a2200349 a 4500 001 569469
003 DE-He213
005 20191114141820.0
006 m d
007 cr nn 008maaau
008 200723s2019 gw s 0 eng d
020 $a 9783030317805$q(electronic bk.)
020 $a 9783030317799$q(paper)
024 7 $a 10.1007/978-3-030-31780-5 $2 doi
035 $a 978-3-030-31780-5
040 $a GP $c GP
041 0 $a eng
050 4 $a KF8947.5 $b .S74 2019
072 7 $a LBBM $2 bicssc
072 7 $a LAW014000 $2 bisacsh
072 7 $a LBBM $2 thema
072 7 $a LNC $2 thema
082 0 4 $a 347.736 $2 23
090 $a KF8947.5 $b .S849 2019
100 1 $a Steward, Dwight. $3 855433
245 1 0 $a Big data analytics in U.S. courts $h [electronic resource] : $b uses, challenges, and implications / $c by Dwight Steward, Roberto Cavazos.
260 $a Cham : $b Springer International Publishing : $b Imprint: Palgrave Pivot, $c 2019.
300 $a vii, 86 p. : $b ill., digital ; $c 24 cm.
490 1 $a Palgrave advances in the economics of innovation and technology, $x 2662-3862
505 0 $a 1. Data Analytics and Litigation -- 2. History of Data Analysis in US Courts -- 3. Examples of Litigation Involving Big Data Analytics -- 4. The Courts as Gatekeeper of Big Data Evidence -- 5. Indirect Use of Big Data Analytics in US Courts -- 6. Future Challenges and Recommendations.
520 $a This Palgrave Pivot identifies the key legal, economic, and policy issues surrounding the allowance to use and interpret electronic data consistently and in a scientifically valid manner in U.S. courts. Evidence based on the analysis of large amounts of electronic data ("Big Data") plays an increasing role in civil court disputes, providing information that could not have been obtained from a witness stand. While Big Data evidence presents opportunities, it also presents legal and public policy challenges and concerns. How can one be sure that deviations found in Big Data fall outside the norm? If statistical analyses can be conducted and presented different ways, how can judges and juries make sense of conflicting interpretations? When does Big Data extraction stop being investigative and instead become an invasion of privacy? This book traces the history of Big Data use in U.S. courts, couples current case studies with legal challenges to explore key controversies, and suggests how courts can change the way they handle Big Data to ensure that findings are statistically significant and scientifically sound.
650 0 $a Electronic evidence $z United States. $3 855435
650 0 $a Big data $z United States. $3 855436
650 1 4 $a Law and Economics. $3 274032
650 2 4 $a R & D/Technology Policy. $3 274390
650 2 4 $a Public Economics. $3 731080
700 1 $a Cavazos, Roberto. $3 855434
710 2 $a SpringerLink (Online service) $3 273601
773 0 $t Springer eBooks
830 0 $a Palgrave advances in the economics of innovation and technology. $3 762855
856 4 0 $u https://doi.org/10.1007/978-3-030-31780-5
950 $a Economics and Finance (Springer-41170)